Ethan M. Rudd

According to our database, Ethan M. Rudd authored at least 27 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Efficient Malware Analysis Using Metric Embeddings.

Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt

CoRR, 2022

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

Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully

Proceedings of the WoRMA@AsiaCCS 2022: Proceedings of the 1st Workshop on Robust Malware Analysis, 2022

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

Chad Mello, Troy Weingart, Ethan M. Rudd

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Efficient Malware Analysis Using Metric Embeddings.

Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt

Proceedings of the Conference on Applied Machine Learning in Information Security, 2022

2020

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

Richard E. Harang, Ethan M. Rudd

CoRR, 2020

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

Ethan M. Rudd, Ahmed Abdallah

CoRR, 2020

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

Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin

Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020

2019

Facial attributes: Accuracy and adversarial robustness.

Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult

Pattern Recognit. Lett., 2019

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

Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin

CoRR, 2019

SMART: Semantic Malware Attribute Relevance Tagging.

Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, Konstantin Berlin

CoRR, 2019

ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation.

Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang

Proceedings of the 28th USENIX Security Symposium, 2019

2018

The Extreme Value Machine.

Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Principled Uncertainty Estimation for Deep Neural Networks.

Richard E. Harang, Ethan M. Rudd

CoRR, 2018

MEADE: Towards a Malicious Email Attachment Detection Engine.

Ethan M. Rudd, Richard E. Harang, Joshua Saxe

CoRR, 2018

2017

Open Set Intrusion Recognition for Fine-Grained Attack Categorization.

Steve Cruz, Cora Coleman, Ethan M. Rudd, Terrance E. Boult

CoRR, 2017

Automated U.S Diplomatic Cables Security Classification: Topic Model Pruning vs. Classification Based on Clusters.

Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult

CoRR, 2017

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

Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult

IEEE Commun. Surv. Tutorials, 2017

Incremental Open Set Intrusion Recognition Using Extreme Value Machine.

James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Toward Open-Set Face Recognition.

Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Automated big text security classification.

Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Are facial attributes adversarially robust?

Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

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

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

Proceedings of the Computer Vision - ECCV 2016, 2016

PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses.

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition.

Ethan M. Rudd, Terrance E. Boult

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Adversarial Diversity and Hard Positive Generation.

Andras Rozsa, Ethan M. Rudd, Terrance E. Boult

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Automated big security text pruning and classification.

Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2014

Exemplar codes for facial attributes and tattoo recognition.

Michael J. Wilber, Ethan M. Rudd, Brian Heflin, Yui-Man Lui, Terrance E. Boult

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014