Mario Fritz

发表

VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity

Mario Fritz, Katharina Krombholz, Sahar Abdelnabi, 2020, CCS.

Parametrized shape models for clothing

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2011, 2011 IEEE International Conference on Robotics and Automation.

Sparselet Models for Efficient Multiclass Object Detection

Trevor Darrell, Mario Fritz, Ross B. Girshick, 2012, ECCV.

Don ' t Look Back : Post-hoc Category Detection via Sparse Reconstruction

Hyun Oh Song, Mario Fritz, Trevor Darrell, 2012 .

Adapting Visual Category Models to New Domains

Trevor Darrell, Mario Fritz, Kate Saenko, 2010, ECCV.

The 2005 PASCAL Visual Object Classes Challenge

Cordelia Schmid, Jorma Laaksonen, Luc Van Gool, 2005, MLCW.

Integrating representative and discriminant models for object category detection

Bernt Schiele, Mario Fritz, Barbara Caputo, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Decomposition, discovery and detection of visual categories using topic models

Bernt Schiele, Mario Fritz, Mario Fritz, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A geometric approach to robotic laundry folding

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2012, Int. J. Robotics Res..

Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning

Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang, 2018 .

Practical 3-D Object detection using category and instance-level appearance models

Trevor Darrell, Mario Fritz, Kate Saenko, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A category-level 3-D object dataset: Putting the Kinect to work

Jonathan T. Barron, Trevor Darrell, Mario Fritz, 2011, ICCV Workshops.

THE KTH-TIPS database

Mario Fritz, B. Caputo, E. Hayman, 2004 .

A category-level 3-D object dataset: Putting the Kinect to work

Jonathan T. Barron, Trevor Darrell, Mario Fritz, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Anytime Recognition of Objects and Scenes

Trevor Darrell, Mario Fritz, Sergey Karayev, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images

Mario Fritz, Marcus Rohrbach, Mateusz Malinowski, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

On the Significance of Real-World Conditions for Material Classification

Mario Fritz, Barbara Caputo, Jan-Olof Eklundh, 2004, ECCV.

Size Matters: Metric Visual Search Constraints from Monocular Metadata

Trevor Darrell, Mario Fritz, Kate Saenko, 2010, NIPS.

Transferring Visual Category Models to New Domains

Trevor Darrell, Mario Fritz, Kate Saenko, 2010 .

THE KTH-TIPS 2 database

Alireza Tavakoli Targhi, Mario Fritz, B. Caputo, 2006 .

Towards Robust Pedestrian Detection in Crowded Image Sequences

Bernt Schiele, Mario Fritz, Edgar Seemann, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering

Mario Fritz, Marcus Rohrbach, Mateusz Malinowski, 2016, International Journal of Computer Vision.

An Additive Latent Feature Model for Transparent Object Recognition

Trevor Darrell, Mario Fritz, Gary R. Bradski, 2009, NIPS.

Timely Object Recognition

Trevor Darrell, Mario Fritz, Sergey Karayev, 2012, NIPS.

Perception for the manipulation of socks

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Natural and Effective Obfuscation by Head Inpainting Supplementary Materials

Seong Joon Oh, Mario Fritz, B. Schiele, 2018 .

Visual Stability Prediction and Its Application to Manipulation pdf

Mario Fritz, Ales Leonardis, Wenbin Li, 2016, AAAI Spring Symposia.

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Bernt Schiele, Mario Fritz, Marcus Rohrbach, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

The NBNN kernel

Trevor Darrell, Mario Fritz, Kate Saenko, 2011, 2011 International Conference on Computer Vision.

Improving the Kinect by Cross-Modal Stereo

Mario Fritz, Walon Wei-Chen Chiu, Ulf Blanke, 2011, BMVC.

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

Mario Fritz, Yusuke Sugano, Xucong Zhang, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

RALF: A reinforced active learning formulation for object class recognition

Bernt Schiele, Mario Fritz, Sandra Ebert, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Advanced Steel Microstructural Classification by Deep Learning Methods

Mario Fritz, Frank Mücklich, Dominik Britz, 2017, Scientific Reports.

Deep Reflectance Maps

Mario Fritz, Tobias Ritschel, Tinne Tuytelaars, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Faceless Person Recognition: Privacy Implications in Social Media pdf

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2016, ECCV.

University of Birmingham Visual stability prediction for robotic manipulation

Mario Fritz, A. Leonardis, Wenbin Li, 2017 .

Long Term Boundary Extrapolation for Deterministic Motion

Mario Fritz, Mateusz Malinowski, Apratim Bhattacharyya, 2016, NIPS 2016.

Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning

Seong Joon Oh, Mario Fritz, B. Schiele, 2018, 1805.05838.

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

Mario Fritz, Yang Zhang, Dingfan Chen, 2019, ArXiv.

A 4 NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Mario Fritz, B. Schiele, Rakshith Shetty, 2018 .

Chapter 5.2 – A Geometric Approach to Robotic Laundry Folding1

Trevor Darrell, Mario Fritz, Ken Goldberg, 2015 .

Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training pdf

Mario Fritz, Sebastian U. Stich, Yang He, 2021, ArXiv.

Multi-modal Learning

Bernt Schiele, Mario Fritz, Danijel Skocaj, 2010, Cognitive Systems.

CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization

Mario Fritz, Maximilian Zenk, Hui-Po Wang, 2020, 2012.08241.

Responsible Disclosure of Generative Models Using Scalable Fingerprinting pdf

Mario Fritz, Ning Yu, Larry Davis, 2020, ArXiv.

Gradient-Leaks: Understanding Deanonymization in Federated Learning

Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang, 2019 .

Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation

Mario Fritz, Marcus Rohrbach, Mateusz Malinowski, 2016 .

Person Recognition in Personal Photo Collections

Seong Joon Oh, Mario Fritz, B. Schiele, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

Mario Fritz, Dingfan Chen, Ning Yu, 2022, ICLR.

Uncertify: Attacks Against Neural Network Certification

Mario Fritz, M. Kwiatkowska, Tobias Lorenz, 2021, 2108.11299.

Categorical Perception

Sanja Fidler, Bernt Schiele, Mario Fritz, 2010, Cognitive Systems.

Discriminative structure learning of hierarchical representations for object detection

Mario Fritz, B. Schiele, S. Roth, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Computer Vision Systems: Seventh International Conference

Bernt Schiele, Mario Fritz, Justus Piater, 2009 .

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Disentangled person image generation Disentangled person image generation

Mario Fritz, B. Schiele, L. Gool, 2019 .

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems

Sahar Abdelnabi, Mario Fritz, 2022, ArXiv.

Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems

Bernt Schiele, Mario Fritz, Justus Piater, 2009 .

Deep Learning for Filling Blanks in Image Captions

Bernt Schiele, Mario Fritz, Ashkan Mokarian Forooshani, 2016 .

Multi-scale Feature Learning for Material Recognition

Wenbin Li, Bernt Schiele, Mario Fritz, 2013 .

Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liège, Belgium, October 13-15, 2009, Proceedings

Bernt Schiele, Mario Fritz, Justus Piater, 2009, International Conference on Virtual Storytelling.

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories

Bernt Schiele, Mario Fritz, Mario Fritz, 2009 .

Discovery of Eye Movement Patterns in Long-term Visual Behaviour Using Topic Models

Mario Fritz, Andreas Bulling, Julian Steil, 2014 .

UnGANable: Defending Against GAN-based Face Manipulation

Mario Fritz, M. Backes, Yang Zhang, 2022, USENIX Security Symposium.

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems

Sahar Abdelnabi, Mario Fritz, 2022, ArXiv.

B-cos Networks: Alignment is All We Need for Interpretability

Mario Fritz, B. Schiele, Moritz D Boehle, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Privacy considerations for sharing genomics data

Mario Fritz, Matthias Becker, Dingfan Chen, 2021, EXCLI journal.

Private Set Generation with Discriminative Information

Mario Fritz, Dingfan Chen, Raouf Kerkouche, 2022, NeurIPS.

"Best-of-Many-Samples" Distribution Matching

Mario Fritz, B. Schiele, Apratim Bhattacharyya, 2019, ArXiv.

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

Sebastian U. Stich, Mario Fritz, Hui-Po Wang, 2021, ICML.

SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models

Mario Fritz, Cristian-Alexandru Staicu, Hossein Hajipour, 2022, ArXiv.

A probabilistic model for recursive factorized image features

Trevor Darrell, Sanja Fidler, Mario Fritz, 2011, CVPR 2011.

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Object Tracking and Pose Estimation Using Light-Field Object Models

Mario Fritz, Matthias Zobel, Ingo Scholz, 2002, VMV.

Towards Reverse-Engineering Black-Box Neural Networks

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2017, ICLR.

Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes pdf

Bernt Schiele, Mario Fritz, Yang He, 2018, ECCV.

Inclusive GAN: Improving Data and Minority Coverage in Generative Models pdf

Mario Fritz, Ning Yu, Peng Zhou, 2020, ECCV.

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

Mario Fritz, Ning Yu, Larry Davis, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Pick Your Neighborhood - Improving Labels and Neighborhood Structure for Label Propagation

Bernt Schiele, Mario Fritz, Sandra Ebert, 2011, DAGM-Symposium.

Tutor-based learning of visual categories using different levels of supervision

Bernt Schiele, Mario Fritz, Geert-Jan M. Kruijff, 2010, Comput. Vis. Image Underst..

Modeling, representing and learning of visual categories

Mario Fritz, Mario Fritz, 2009 .

Learning Smooth Pooling Regions for Visual Recognition

Mario Fritz, Mateusz Malinowski, Mario Fritz, 2013, BMVC.

Novel Views of Objects from a Single Image

Mario Fritz, Tobias Ritschel, Tinne Tuytelaars, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Cross‐modal Learning of Visual Categories using Different Levels of Supervision

Bernt Schiele, Mario Fritz, Geert-Jan M. Kruijff, 2007, ICVS 2007.

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction pdf

Mario Fritz, Ales Leonardis, Wenbin Li, 2016, ArXiv.

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models pdf

Mario Fritz, Michael Backes, Yang Zhang, 2018, NDSS.

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems

Sahar Abdelnabi, Mario Fritz, 2022, ArXiv.

Conditional Flow Variational Autoencoders for Structured Sequence Prediction pdf

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2019, ArXiv.

Recognizing Materials from Virtual Examples

Mario Fritz, Wenbin Li, Mario Fritz, 2012, ECCV.

Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks

Mario Fritz, B. Schiele, Tribhuvanesh Orekondy, 2019, ICLR.

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input

Mario Fritz, Mateusz Malinowski, Mario Fritz, 2014, NIPS.

Disentangled Person Image Generation

Luc Van Gool, Bernt Schiele, Mario Fritz, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2018, NeurIPS.

Dual Contrastive Loss and Attention for GANs

Larry S. Davis, Mario Fritz, Bryan Catanzaro, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

Mario Fritz, Rakshith Shetty, Vedika Agarwal, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Long-Tailed Recognition Using Class-Balanced Experts pdf

Bernt Schiele, Mario Fritz, Saurabh Sharma, 2020, GCPR.

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators pdf

Tribhuvanesh Orekondy, Mario Fritz, Dingfan Chen, 2020, NeurIPS.

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Mario Fritz, Ning Yu, Yang Zhang, 2019, CCS.

Automatically Detecting Bystanders in Photos to Reduce Privacy Risks

Mario Fritz, David J. Crandall, Apu Kapadia, 2020, 2020 IEEE Symposium on Security and Privacy (SP).

Prediction of search targets from fixations in open-world settings

Mario Fritz, Andreas Bulling, Hosnieh Sattar, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning

Mario Fritz, Tobias Ritschel, Tinne Tuytelaars, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Appearance-based gaze estimation in the wild

Mario Fritz, Yusuke Sugano, Xucong Zhang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models

Mario Fritz, Thorsten Holz, Hossein Hajipour, 2023, ArXiv.

Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning to Select Long-Track Features for Structure-From-Motion and Visual SLAM

Oliver Grau, Mario Fritz, Jonas Scheer, 2016, GCPR.

Learnable Pooling Regions for Image Classification pdf

Mario Fritz, Mateusz Malinowski, Mario Fritz, 2013, ICLR.

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models pdf

Emiliano De Cristofaro, Mario Fritz, Michael Backes, 2021, USENIX Security Symposium.

Knockoff Nets: Stealing Functionality of Black-Box Models

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models

Sahar Abdelnabi, Mario Fritz, 2021, MTD@CCS.

Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries pdf

Tribhuvanesh Orekondy, Mario Fritz, Shadi Rahimian, 2020, ArXiv.

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service pdf

Yang Zhang, Mario Fritz, Michael Backes, 2018, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Larry S. Davis, Mario Fritz, Larry Davis, 2020, ICLR.

It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

Mario Fritz, Yusuke Sugano, Xucong Zhang, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Sahar Abdelnabi, Mario Fritz, Ning Yu, 2020, IEEE International Conference on Computer Vision.

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Mario Fritz, Margret Keuper, Yang He, 2021, IJCAI.

Client-specific Property Inference against Secure Aggregation in Federated Learning

Mario Fritz, G. Ács, Raouf Kerkouche, 2023, ArXiv.

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

Mario Fritz, Dingfan Chen, Ning Yu, 2022, International Conference on Learning Representations.

More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models

Sahar Abdelnabi, Mario Fritz, Thorsten Holz, 2023, ArXiv.

Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images pdf

Mario Fritz, Ning Yu, Larry Davis, 2018, ArXiv.

Towards Automated Testing and Robustification by Semantic Adversarial Data Generation

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2020, ECCV.

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

Mario Fritz, B. Schiele, Yang He, 2019, ECCV.

Time-Conditioned Action Anticipation in One Shot

Bernt Schiele, Mario Fritz, Qiuhong Ke, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Hybrid Model for Identity Obfuscation by Face Replacement pdf

Bernt Schiele, Mario Fritz, Christian Theobalt, 2018, ECCV.

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels pdf

Oliver Grau, Mario Fritz, Abhishek Sharma, 2016, ECCV Workshops.

Discovery of activity patterns using topic models

Bernt Schiele, Mario Fritz, Tâm Huynh, 2008 .

Haar Wavelet Based Block Autoregressive Flows for Trajectories pdf

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2020, GCPR.

Exploiting Saliency for Object Segmentation from Image Level Labels

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Natural and Effective Obfuscation by Head Inpainting

Luc Van Gool, Seong Joon Oh, Bernt Schiele, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Not Using the Car to See the Sidewalk — Quantifying and Controlling the Effects of Context in Classification and Segmentation

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SampleFix: Learning to Generate Functionally Diverse Fixes

Mario Fritz, Cristian-Alexandru Staicu, Apratim Bhattacharyya, 2019, PKDD/ECML Workshops.

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning pdf

Yang Zhang, Mario Fritz, Michael Backes, 2019, USENIX Security Symposium.

Differential Privacy Defenses and Sampling Attacks for Membership Inference

Tribhuvanesh Orekondy, Mario Fritz, Shadi Rahimian, 2021, AISec@CCS.

Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning

Seong Joon Oh, Mario Fritz, B. Schiele, 2018, 1805.05838.

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Sahar Abdelnabi, Mario Fritz, Thorsten Holz, 2023, AISec@CCS.

Towards a Visual Turing Challenge pdf

Mario Fritz, Mateusz Malinowski, Mario Fritz, 2014, ArXiv.

A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2017, USENIX Security Symposium.

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

Sahar Abdelnabi, Mario Fritz, 2020, 2021 IEEE Symposium on Security and Privacy (SP).

Classifying materials in the real world

Mario Fritz, Barbara Caputo, Jan-Olof Eklundh, 2010, Image Vis. Comput..

Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches pdf

Mario Fritz, Katharina Krombholz, Gerard Pons-Moll, 2019, ArXiv.

SampleFix: Learning to Correct Programs by Efficient Sampling of Diverse Fixes

Mario Fritz, Hossein Hajipour, Apratim Bhattacharya, 2020 .

Interpretability Beyond Classification Output: Semantic Bottleneck Networks pdf

Bernt Schiele, Mario Fritz, Max Losch, 2019, ArXiv.

Convolutional Dynamic Alignment Networks for Interpretable Classifications

Bernt Schiele, Mario Fritz, Moritz Böhle, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries

Mario Fritz, Andreas Bulling, Mateusz Malinowski, 2016, ICMR.

Hard to Cheat: A Turing Test based on Answering Questions about Images pdf

Mario Fritz, Mateusz Malinowski, Mario Fritz, 2015, AAAI 2015.

Black-Box Watermarking for Generative Adversarial Networks pdf

Mario Fritz, Ning Yu, Sahar Abdelnabi, 2020, ArXiv.

Artificial GAN Fingerprints: Rooting Deepfake Attribution in Training Data

Sahar Abdelnabi, Mario Fritz, Ning Yu, 2020 .

A Domain Based Approach to Social Relation Recognition

Bernt Schiele, Mario Fritz, Qianru Sun, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring

Mario Fritz, Rakibul Hasan, 2022, Proc. Priv. Enhancing Technol..

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes pdf

Mario Fritz, Hossein Hajipour, Apratim Bhattacharyya, 2019, ArXiv.

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning pdf

Mario Fritz, Yang He, Maximilian Zenk, 2020, ArXiv.

Sequential Attacks on Agents for Long-Term Adversarial Goals pdf

Seong Joon Oh, Mario Fritz, Edgar Tretschk, 2018, ArXiv.

Private and Collaborative Kaplan-Meier Estimators

Mario Fritz, I. Kurth, Raouf Kerkouche, 2023, ArXiv.

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling

Mario Fritz, Evgeny Levinkov, Mario Fritz, 2013, 2013 IEEE International Conference on Computer Vision.

Holistically Explainable Vision Transformers

Mario Fritz, B. Schiele, Moritz D Boehle, 2023, ArXiv.

Multi-cue Zero-Shot Learning with Strong Supervision

Bernt Schiele, Mario Fritz, Zeynep Akata, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

Mario Fritz, Margret Keuper, Wei-Chen Chiu, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy

Mario Fritz, Jens Grossklags, Dingfan Chen, 2023, ArXiv.

Real-time Hand Tracking Using Hybrid Pose

Mario Fritz, Eidesstattliche Erklärung, F. Müller, 2014 .

I-Pic: A Platform for Privacy-Compliant Image Capture

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2016, MobiSys.

Long-Term Image Boundary Prediction

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2016, AAAI.

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources pdf

Mario Fritz, Sahar Abdelnabi, Rakibul Hasan, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data

Mario Fritz, I. Kurth, Raouf Kerkouche, 2022, CHIL.

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems

Sahar Abdelnabi, Mario Fritz, 2022, USENIX Security Symposium.

$A^{4}NT$: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2017, 1711.01921.

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

Mario Fritz, B. Schiele, M. Losch, 2021, International Journal of Computer Vision.

Synthetic Convolutional Features for Improved Semantic Segmentation

Bernt Schiele, Mario Fritz, Yang He, 2020, ECCV Workshops.

What is Around the Camera?

Luc Van Gool, Mario Fritz, Tobias Ritschel, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

Natural Illumination from Multiple Materials Using Deep Learning pdf

Luc Van Gool, Mario Fritz, Tobias Ritschel, 2016, ArXiv.

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination pdf

Luc Van Gool, Mario Fritz, Tobias Ritschel, 2016, ArXiv.

UvA-DARE (Digital Academic Repository) Deep Reflectance Maps

Mario Fritz, T. Tuytelaars, Konstantinos Rematas, 2022 .

Active Metric Learning for Object Recognition

Bernt Schiele, Mario Fritz, Sandra Ebert, 2012, DAGM/OAGM Symposium.

Future Moment Assessment for Action Query

Bernt Schiele, Mario Fritz, Qiuhong Ke, 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Normalizing Flows With Multi-Scale Autoregressive Priors

Stefan Roth, Bernt Schiele, Mario Fritz, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The 2005 PASCAL Visual Object Classes Challenge

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2005, MLCW.

Towards Unsupervised Discovery of Visual Categories

Bernt Schiele, Mario Fritz, Mario Fritz, 2006, DAGM-Symposium.

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image

Mario Fritz, Tinne Tuytelaars, Konstantinos Rematas, 2012, ACCV.

Deep Appearance Maps

Mario Fritz, Tobias Ritschel, Maxim Maximov, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources

Mario Fritz, Gerard Pons-Moll, Hosnieh Sattar, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Visual Decoding of Targets During Visual Search From Human Eye Fixations pdf

Mario Fritz, Andreas Bulling, Hosnieh Sattar, 2017, ArXiv.

VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity

Sahar Abdelnabi, Katharina Krombholz, Mario Fritz, 2020, CCS.

Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations

Mario Fritz, Andreas Bulling, Hosnieh Sattar, 2020, Neurocomputing.

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

Mario Fritz, Andreas Bulling, Hosnieh Sattar, 2016, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Predicting the Category and Attributes of Mental Pictures Using Deep Gaze Pooling pdf

Mario Fritz, Andreas Bulling, Hosnieh Sattar, 2016, ArXiv.

MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime

Mario Fritz, Dingfan Chen, Tejumade Afonja, 2023, DAGM.

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy

Mario Fritz, Jens Grossklags, Dingfan Chen, 2023, ArXiv.

A geometric approach to robotic laundry folding

Mario Fritz, P. Abbeel, Ken Goldberg, 2012 .

Person Recognition in Personal Photo Collections pdf

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Availability Attacks Against Neural Network Certifiers Based on Backdoors

Mario Fritz, M. Kwiatkowska, Tobias Lorenz, 2021, 2108.11299.

Uncertify: Attacks Against Neural Network Certification

Mario Fritz, M. Kwiatkowska, Tobias Lorenz, 2022 .

Backdoor Attacks on Network Certification via Data Poisoning pdf

Mario Fritz, Marta Kwiatkowska, Tobias Lorenz, 2021, ArXiv.

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods pdf

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2018, ICLR.

The Pascal Visual Object Classes Challenge 2006 ( VOC 2006 ) Results

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2006 .

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis pdf

Mario Fritz, Hossein Hajipour, Mateusz Malinowski, 2020, ArXiv.

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Mario Fritz, Walon Wei-Chen Chiu, Mario Fritz, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks pdf

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz, 2019, ArXiv.

Contextual Media Retrieval Using Natural Language Queries pdf

Mario Fritz, Andreas Bulling, Mateusz Malinowski, 2016, ArXiv.

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs pdf

Mario Fritz, Ning Yu, Hui-Po Wang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

Tribhuvanesh Orekondy, Mario Fritz, Hui-Po Wang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Multi-class Video Co-segmentation with a Generative Multi-video Model

Mario Fritz, Walon Wei-Chen Chiu, Mario Fritz, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Optimising for Interpretability: Convolutional Dynamic Alignment Networks pdf

Bernt Schiele, Mario Fritz, Moritz Böhle, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning to Detect Visual Grasp Affordance

Trevor Darrell, Mario Fritz, Daniel Göhring, 2016, IEEE Transactions on Automation Science and Engineering.

Understanding and Controlling User Linkability in Decentralized Learning pdf

Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, 2018, ArXiv.

The 2005 PASCAL Visual Object Classes Challenge

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2005, MLCW.

From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency

Sahar Abdelnabi, Mario Fritz, Rakibul Hasan, 2023, ArXiv.

Teaching robots the use of human tools from demonstration with non-dexterous end-effectors

Mario Fritz, Wenbin Li, Mario Fritz, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Learning GAN fingerprints towards Image Attribution

Mario Fritz, Ning Yu, Larry Davis, 2018, 1811.08180.

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning

Mario Fritz, T. Tuytelaars, Konstantinos Rematas, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Joint segmentation and activity discovery using semantic and temporal priors

Mario Fritz, Gerhard Tröster, Walon Wei-Chen Chiu, 2015, 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom).

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Mario Fritz, Yang Zhang, Dingfan Chen, 2019, CCS.

Long-Term On-Board Prediction of Pedestrians in Traffic Scenes

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2017 .

IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis

Mario Fritz, Mateusz Malinowski, Hossein Hajipour, 2020, PKDD/ECML Workshops.

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources

Sahar Abdelnabi, Mario Fritz, Rakibul Hasan, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Client-specific Property Inference against Secure Aggregation in Federated Learning

Mario Fritz, G. Ács, Raouf Kerkouche, 2023, WPES@CCS.