Ethan M. Rudd - RankMe

45 papers A* 1A 1B 2C 2Journal 27Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Practical Guide for Evaluating LLMs and LLM-Reliant Systems. CoRR Ethan M. Rudd, Christopher Andrews, Philip Tully
2025	—	`ed.`	Proceedings of the 2025 Conference on Applied Machine Learning for Information Security (CAMLIS), 22-24 October 2025, Sands Capital, Arlington, VA, USA CAMLIS Edward Raff, Ethan M. Rudd
2025	—	`ed.`	Proceedings of the Conference on Applied Machine Learning in Information Security (CAMLIS 2024), Arlington, Virginia, USA, October 24-25, 2024. CAMLIS Rachel Allen, Sagar Samtani, Edward Raff, Ethan M. Rudd
2024	J	`jnl`	Efficient Malware Analysis Using Metric Embeddings. DTRAP Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt
2024	—	`ed.`	Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023. CAMLIS Lauren Deason, Sagar Samtani, Edward Raff, Ethan M. Rudd
2023	J	`jnl`	Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. CoRR Chad Mello, Troy Weingart, Ethan M. Rudd
2022	B	`conf`	Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. ICPR Chad Mello, Troy Weingart, Ethan M. Rudd
2022	—	`conf`	Efficient Malware Analysis Using Metric Embeddings. CAMLIS Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt
2022	J	`jnl`	Efficient Malware Analysis Using Metric Embeddings. CoRR Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt
2022	—	`conf`	Transformers for End-to-End InfoSec Tasks: A Feasibility Study. WoRMA@AsiaCCS Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully
2022	J	`jnl`	Transformers for End-to-End InfoSec Tasks: A Feasibility Study. CoRR Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully
2020	—	`conf`	Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. SP (Workshops) Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
2020	J	`jnl`	SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. CoRR Richard E. Harang, Ethan M. Rudd
2020	J	`jnl`	Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction. CoRR Ethan M. Rudd, Ahmed Abdallah
2019	A*	`conf`	ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
2019	J	`jnl`	ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
2019	J	`jnl`	Facial attributes: Accuracy and adversarial robustness. Pattern Recognit. Lett. Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
2019	J	`jnl`	Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. CoRR Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
2019	J	`jnl`	SMART: Semantic Malware Attribute Relevance Tagging. CoRR Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, Konstantin Berlin
2018	J	`jnl`	Facial Attributes: Accuracy and Adversarial Robustness. CoRR Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
2018	J	`jnl`	MEADE: Towards a Malicious Email Attachment Detection Engine. CoRR Ethan M. Rudd, Richard E. Harang, Joshua Saxe
2018	J	`jnl`	Principled Uncertainty Estimation for Deep Neural Networks. CoRR Richard E. Harang, Ethan M. Rudd
2018	J	`jnl`	The Extreme Value Machine. IEEE Trans. Pattern Anal. Mach. Intell. Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult
2017	J	`jnl`	A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. IEEE Commun. Surv. Tutorials Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult
2017	J	`jnl`	Automated U.S Diplomatic Cables Security Classification: Topic Model Pruning vs. Classification Based on Clusters. CoRR Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult
2017	C	`conf`	Incremental Open Set Intrusion Recognition Using Extreme Value Machine. ICMLA James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult
2017	J	`jnl`	Open Set Intrusion Recognition for Fine-Grained Attack Categorization. CoRR Steve Cruz, Cora Coleman, Ethan M. Rudd, Terrance E. Boult
2017	—	`conf`	Toward Open-Set Face Recognition. CVPR Workshops Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
2017	J	`jnl`	Toward Open-Set Face Recognition. CoRR Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
2016	J	`jnl`	A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. CoRR Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult
2016	—	`conf`	Adversarial Diversity and Hard Positive Generation. CVPR Workshops Andras Rozsa, Ethan M. Rudd, Terrance E. Boult
2016	J	`jnl`	Adversarial Diversity and Hard Positive Generation. CoRR Andras Rozsa, Ethan M. Rudd, Terrance E. Boult
2016	J	`jnl`	Are Facial Attributes Adversarially Robust? CoRR Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
2016	B	`conf`	Are facial attributes adversarially robust? ICPR Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
2016	J	`jnl`	Automated Big Text Security Classification. CoRR Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow
2016	—	`conf`	Automated big security text pruning and classification. IEEE BigData Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult
2016	C	`conf`	Automated big text security classification. ISI Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow
2016	—	`conf`	CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CVPR Workshops Ethan M. Rudd, Terrance E. Boult
2016	J	`jnl`	CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CoRR Ethan M. Rudd, Terrance E. Boult
2016	—	`conf`	MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. ECCV (5) Ethan M. Rudd, Manuel Günther, Terrance E. Boult
2016	J	`jnl`	MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. CoRR Ethan M. Rudd, Manuel Günther, Terrance E. Boult
2016	—	`conf`	PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CVPR Workshops Ethan M. Rudd, Manuel Günther, Terrance E. Boult
2016	J	`jnl`	PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CoRR Ethan M. Rudd, Manuel Günther, Terrance E. Boult
2015	J	`jnl`	The Extreme Value Machine. CoRR Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult
2014	A	`conf`	Exemplar codes for facial attributes and tattoo recognition. WACV Michael J. Wilber, Ethan M. Rudd, Brian Heflin, Yui-Man Lui, Terrance E. Boult