Ethan M. Rudd

发表

Are facial attributes adversarially robust?

Terrance E. Boult, Manuel Günther, Andras Rozsa, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses

Terrance E. Boult, Manuel Günther, Ethan M. Rudd, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Automated U.S diplomatic cables security classification: Topic model pruning vs. classification based on clusters

C. Edward Chow, Terrance E. Boult, Ethan M. Rudd, 2017, 2017 IEEE International Symposium on Technologies for Homeland Security (HST).

Exemplar codes for facial attributes and tattoo recognition

Terrance E. Boult, Michael J. Wilber, Brian Heflin, 2014, IEEE Winter Conference on Applications of Computer Vision.

Automated big text security classification

C. Edward Chow, Terrance E. Boult, Ethan M. Rudd, 2016, 2016 IEEE Conference on Intelligence and Security Informatics (ISI).

SMART: Semantic Malware Attribute Relevance Tagging pdf

Ethan M. Rudd, Konstantin Berlin, Felipe N. Ducau, 2019, ArXiv.

MEADE: Towards a Malicious Email Attachment Detection Engine

Richard E. Harang, Ethan M. Rudd, Joshua Saxe, 2018, 2018 IEEE International Symposium on Technologies for Homeland Security (HST).

Incremental Open Set Intrusion Recognition Using Extreme Value Machine

Terrance E. Boult, Steve Cruz, James Henrydoss, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

What’s Hiding in My Deep Features?

Terrance E. Boult, Akshay Raj Dhamija, Manuel Günther, 2018 .

MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes

Terrance E. Boult, Manuel Günther, Ethan M. Rudd, 2016, ECCV.

Automated big security text pruning and classification

C. Edward Chow, Terrance E. Boult, Ethan M. Rudd, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Towards Principled Uncertainty Estimation for Deep Neural Networks

Richard E. Harang, Richard Harang, Ethan M. Rudd, 2018, 1810.12278.

Open set intrusion recognition for fine-grained attack categorization

Terrance E. Boult, Steve Cruz, Ethan M. Rudd, 2017, 2017 IEEE International Symposium on Technologies for Homeland Security (HST).

Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection pdf

Ethan M. Rudd, Konstantin Berlin, Adarsh Kyadige, 2019, ArXiv.

Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction pdf

Ahmed Abdallah, Ethan M. Rudd, Ahmed Abdallah, 2020, ArXiv.

Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection

Ethan M. Rudd, Adarsh Kyadige, Konstantin Berlin, 2020, 2020 IEEE Security and Privacy Workshops (SPW).

CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition

Terrance E. Boult, Ethan M. Rudd, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions

Terrance E. Boult, Andras Rozsa, Ethan M. Rudd, 2016, IEEE Communications Surveys & Tutorials.

Adversarial Diversity and Hard Positive Generation

Terrance E. Boult, Andras Rozsa, Ethan M. Rudd, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation

Richard E. Harang, Ethan M. Rudd, Konstantin Berlin, 2019, USENIX Security Symposium.

Principled Uncertainty Estimation for Deep Neural Networks pdf

Richard E. Harang, Ethan M. Rudd, 2018, ArXiv.

Facial Attributes: Accuracy and Adversarial Robustness

Terrance E. Boult, Manuel Günther, Andras Rozsa, 2017, Pattern Recognit. Lett..

SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection pdf

Richard E. Harang, Richard Harang, Ethan M. Rudd, 2020, ArXiv.

Toward Open-Set Face Recognition

Terrance E. Boult, Steve Cruz, Manuel Günther, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

The Extreme Value Machine

Terrance E. Boult, Walter J. Scheirer, Ethan M. Rudd, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Open Set Protocol for Improving Malware Classification in Intrusion Detection

Terrance E. Boult, Ethan M. Rudd, T. Boult, 2016 .

Transformers for End-to-End InfoSec Tasks: A Feasibility Study

Ethan M. Rudd, Mohammad Saidur Rahman, M. S. Rahman, 2022, WoRMA@AsiaCCS.

Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface

Chad A. Mello, Ethan M. Rudd, T. Weingart, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Automatic Malware Description via Attribute Tagging and Similarity Embedding.

Ethan M. Rudd, Felipe N. Ducau, Tad M. Heppner, 2019, 1905.06262.

Efficient Malware Analysis Using Metric Embeddings

Scott E. Coull, Ethan M. Rudd, David B. Krisiloff, 2022, CAMLIS.