Philipp Benz

发表

Universal Adversarial Perturbations are Not Bugs, They are Features

I. Kweon, Chaoning Zhang, Philipp Benz, 2020 .

A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking

I. Kweon, Chaoning Zhang, Weiming Zhang, 2021, ArXiv.

Trade-off Between Accuracy, Robustness, and Fairness of Deep Classifiers

Philipp Benz, 2021 .

Privacy Safe Representation Learning via Frequency Filtering Encoder

Philipp Benz, J. Jeong, Minyong Cho, 2022, AISafety@IJCAI.

Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention

Philipp Benz, Jinwoo Hwang, Tae-Hoon Kim, 2022, ArXiv.

Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective pdf

In So Kweon, Chaoning Zhang, Adil Karjauv, 2021, AAAI.

Data from Model: Extracting Data from Non-robust and Robust Models pdf

Chaoning Zhang, Philipp Benz, Tooba Imtiaz, 2020, ArXiv.

Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking

In So Kweon, Adil Karjauv, Philipp Benz, 2021, ACM Multimedia.

A Survey On Universal Adversarial Attack

In So Kweon, Chaoning Zhang, Adil Karjauv, 2021, IJCAI.

Universal Adversarial Training with Class-Wise Perturbations pdf

In So Kweon, Adil Karjauv, Philipp Benz, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations

Chaoning Zhang, Philipp Benz, Tooba Imtiaz, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Revisiting Residual Networks with Nonlinear Shortcuts

In-So Kweon, Jean Charles Bazin, Chaoning Zhang, 2019, BMVC.

Investigating Top-k White-Box and Transferable Black-box Attack

Chaoning Zhang, Philipp Benz, Jae-Won Cho, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs pdf

Philipp Benz, Philipp Benz, 2021, BMVC.

Revisiting Batch Normalization for Improving Corruption Robustness pdf

In So Kweon, Chaoning Zhang, Adil Karjauv, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective

In-So Kweon, Chaoning Zhang, Philipp Benz, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features

I. Kweon, Chaoning Zhang, Philipp Benz, 2020, ArXiv.

Data-free Universal Adversarial Perturbation and Black-box Attack

In-So Kweon, Chaoning Zhang, Philipp Benz, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet pdf

Chaoning Zhang, Philipp Benz, In So Kweon, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging

In-So Kweon, Chaoning Zhang, Adil Karjauv, 2020, NeurIPS.

Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy

I. Kweon, Chaoning Zhang, Philipp Benz, 2020, Preregister@NeurIPS.

Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo

Jun-Ho Oh, In-So Kweon, Philipp Benz, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Double Targeted Universal Adversarial Perturbations pdf

In So Kweon, Chaoning Zhang, Philipp Benz, 2020, ACCV.

Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach pdf

Chaoning Zhang, Adil Karjauv, Philipp Benz, 2020, ArXiv.

CD-UAP: Class Discriminative Universal Adversarial Perturbation pdf

In So Kweon, Chaoning Zhang, Philipp Benz, 2020, AAAI.

Sensor-Based Mobile Robot Navigation via Deep Reinforcement Learning

Ho-Jin Choi, Seung-Ho Han, Philipp Benz, 2018, 2018 IEEE International Conference on Big Data and Smart Computing (BigComp).

Propose-and-Attend Single Shot Detector

In So Kweon, Philipp Benz, Sanghyun Woo, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Noisy adversarial representation learning for effective and efficient image obfuscation

Philipp Benz, J. Jeong, Minyong Cho, 2023, Conference on Uncertainty in Artificial Intelligence.

Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels

Philipp Benz, Tae-Hoon Kim, Federica Spinola, 2023, ArXiv.

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

Philipp Benz, 2021, BMVC.

Beyond Performance: Quantifying and Mitigating Label Bias in LLMs

Kuntal Kumar Pal, Shailaja Keyur Sampat, Maksym Andriushchenko, 2024, NAACL.

Data-free Universal Adversarial Perturbation and Black-box Attack

In-So Kweon, Chaoning Zhang, Philipp Benz, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Simple Techniques are Sufficient for Boosting Adversarial Transferability

Chaoning Zhang, Philipp Benz, In-So Kweon, 2023, ACM Multimedia.