Ethan M. Rudd

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 38

Top Topics

Malware Detection

Face Recognition

Top Venues

Publications

Chad Mello, Troy Weingart, Ethan M. Rudd
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. CoRR (2023)
Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt
Efficient Malware Analysis Using Metric Embeddings. CoRR (2022)
Chad Mello, Troy Weingart, Ethan M. Rudd
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. ICPR (2022)
Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully
Transformers for End-to-End InfoSec Tasks: A Feasibility Study. WoRMA@AsiaCCS (2022)
Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt
Efficient Malware Analysis Using Metric Embeddings. CAMLIS (2022)
Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully
Transformers for End-to-End InfoSec Tasks: A Feasibility Study. CoRR (2022)
Richard E. Harang, Ethan M. Rudd
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. CoRR (2020)
Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. SP Workshops (2020)
Ethan M. Rudd, Ahmed Abdallah
Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction. CoRR (2020)
Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, Konstantin Berlin
SMART: Semantic Malware Attribute Relevance Tagging. CoRR (2019)
Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium (2019)
Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR (2019)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Facial attributes: Accuracy and adversarial robustness. Pattern Recognit. Lett. 124 (2019)
Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. CoRR (2019)
Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult
The Extreme Value Machine. IEEE Trans. Pattern Anal. Mach. Intell. 40 (3) (2018)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Facial Attributes: Accuracy and Adversarial Robustness. CoRR (2018)
Ethan M. Rudd, Richard E. Harang, Joshua Saxe
MEADE: Towards a Malicious Email Attachment Detection Engine. CoRR (2018)
Richard E. Harang, Ethan M. Rudd
Principled Uncertainty Estimation for Deep Neural Networks. CoRR (2018)
James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult
Incremental Open Set Intrusion Recognition Using Extreme Value Machine. ICMLA (2017)
Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
Toward Open-Set Face Recognition. CoRR (2017)
Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult
A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. IEEE Commun. Surv. Tutorials 19 (2) (2017)
Steve Cruz, Cora Coleman, Ethan M. Rudd, Terrance E. Boult
Open Set Intrusion Recognition for Fine-Grained Attack Categorization. CoRR (2017)
Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult
Automated U.S Diplomatic Cables Security Classification: Topic Model Pruning vs. Classification Based on Clusters. CoRR (2017)
Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
Toward Open-Set Face Recognition. CVPR Workshops (2017)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. ECCV (5) (2016)
Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. CoRR (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CoRR (2016)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Are facial attributes adversarially robust? ICPR (2016)
Andras Rozsa, Ethan M. Rudd, Terrance E. Boult
Adversarial Diversity and Hard Positive Generation. CoRR (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. CoRR (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CVPR Workshops (2016)
Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow
Automated Big Text Security Classification. CoRR (2016)
Andras Rozsa, Ethan M. Rudd, Terrance E. Boult
Adversarial Diversity and Hard Positive Generation. CVPR Workshops (2016)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Are Facial Attributes Adversarially Robust? CoRR (2016)
Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow
Automated big text security classification. ISI (2016)
Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult
Automated big security text pruning and classification. IEEE BigData (2016)
Ethan M. Rudd, Terrance E. Boult
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CoRR (2016)
Ethan M. Rudd, Terrance E. Boult
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CVPR Workshops (2016)
Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult
The Extreme Value Machine. CoRR (2015)
Michael J. Wilber, Ethan M. Rudd, Brian Heflin, Yui-Man Lui, Terrance E. Boult
Exemplar codes for facial attributes and tattoo recognition. WACV (2014)