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ORCIDEthan M. Rudd
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2020 – today
- 2024
[j4]Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt:
Efficient Malware Analysis Using Metric Embeddings. DTRAP 5(1): 4:1-4:20 (2024)- [e1]Lauren Deason, Sagar Samtani, Edward Raff, Ethan M. Rudd:
Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023. CEUR Workshop Proceedings 3652, CEUR-WS.org 2024 [contents] - 2023
- [i22]Chad Mello, Troy Weingart, Ethan M. Rudd:
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. CoRR abs/2301.12322 (2023) - 2022
- [c15]Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt:
Efficient Malware Analysis Using Metric Embeddings. CAMLIS 2022: 65-80 - [c14]Chad Mello, Troy Weingart, Ethan M. Rudd:
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. ICPR 2022: 1062-1068 - [c13]Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully:
Transformers for End-to-End InfoSec Tasks: A Feasibility Study. WoRMA@AsiaCCS 2022: 21-31 - [i21]Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt:
Efficient Malware Analysis Using Metric Embeddings. CoRR abs/2212.02663 (2022) - [i20]Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully:
Transformers for End-to-End InfoSec Tasks: A Feasibility Study. CoRR abs/2212.02666 (2022) - 2020
- [c12]Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin:
Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. SP (Workshops) 2020: 1-7 - [i19]Ethan M. Rudd, Ahmed Abdallah:
Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction. CoRR abs/2011.03040 (2020) - [i18]Richard E. Harang, Ethan M. Rudd:
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. CoRR abs/2012.07634 (2020)
2010 – 2019
- 2019
- [j3]Andras Rozsa, Manuel Günther
, Ethan M. Rudd, Terrance E. Boult:
Facial attributes: Accuracy and adversarial robustness. Pattern Recognit. Lett. 124: 100-108 (2019) - [c11]Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang:
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium 2019: 303-320 - [i17]Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang:
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR abs/1903.05700 (2019) - [i16]Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, Konstantin Berlin:
SMART: Semantic Malware Attribute Relevance Tagging. CoRR abs/1905.06262 (2019) - [i15]Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin:
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. CoRR abs/1905.06987 (2019) - 2018
- [j2]Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult:
The Extreme Value Machine. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 762-768 (2018) - [i14]Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult:
Facial Attributes: Accuracy and Adversarial Robustness. CoRR abs/1801.02480 (2018) - [i13]Ethan M. Rudd, Richard E. Harang, Joshua Saxe:
MEADE: Towards a Malicious Email Attachment Detection Engine. CoRR abs/1804.08162 (2018) - [i12]Richard E. Harang, Ethan M. Rudd:
Principled Uncertainty Estimation for Deep Neural Networks. CoRR abs/1810.12278 (2018) - 2017
- [j1]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): 1145-1172 (2017) - [c10]Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult:
Toward Open-Set Face Recognition. CVPR Workshops 2017: 573-582 - [c9]James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
Incremental Open Set Intrusion Recognition Using Extreme Value Machine. ICMLA 2017: 1089-1093 - [i11]Steve Cruz, Cora Coleman, Ethan M. Rudd, Terrance E. Boult:
Open Set Intrusion Recognition for Fine-Grained Attack Categorization. CoRR abs/1703.02244 (2017) - [i10]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 abs/1703.02248 (2017) - [i9]Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult:
Toward Open-Set Face Recognition. CoRR abs/1705.01567 (2017) - 2016
- [c8]Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult:
Automated big security text pruning and classification. IEEE BigData 2016: 3629-3637 - [c7]Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CVPR Workshops 2016: 171-178 - [c6]Ethan M. Rudd, Terrance E. Boult:
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CVPR Workshops 2016: 195-203 - [c5]Andras Rozsa, Ethan M. Rudd, Terrance E. Boult:
Adversarial Diversity and Hard Positive Generation. CVPR Workshops 2016: 410-417 - [c4]Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. ECCV (5) 2016: 19-35 - [c3]Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult:
Are facial attributes adversarially robust? ICPR 2016: 3121-3127 - [c2]Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow:
Automated big text security classification. ISI 2016: 103-108 - [i8]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 abs/1603.06028 (2016) - [i7]Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. CoRR abs/1603.07027 (2016) - [i6]Andras Rozsa, Ethan M. Rudd, Terrance E. Boult:
Adversarial Diversity and Hard Positive Generation. CoRR abs/1605.01775 (2016) - [i5]Ethan M. Rudd, Terrance E. Boult:
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CoRR abs/1605.03116 (2016) - [i4]Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CoRR abs/1605.03124 (2016) - [i3]Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult:
Are Facial Attributes Adversarially Robust? CoRR abs/1605.05411 (2016) - [i2]Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow:
Automated Big Text Security Classification. CoRR abs/1610.06856 (2016) - 2015
- [i1]Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult:
The Extreme Value Machine. CoRR abs/1506.06112 (2015) - 2014
- [c1]Michael J. Wilber, Ethan M. Rudd, Brian Heflin, Yui-Man Lui, Terrance E. Boult:
Exemplar codes for facial attributes and tattoo recognition. WACV 2014: 205-212
Coauthor Index
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