Publications

Found 6 results
Author Title Type [ Year(Desc)]
Filters: Author is J.D. Tygar  [Clear All Filters]
2014
Miller, B., Kantchelian A., Afroz S., Bachwani R., Dauber E., Huang L., et al. (2014).  Adversarial Active Learning. Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop (AISec '14). 3–14.
Kantchelian, A., Tschantz M. Carl, Huang L., Bartlett P. L., Joseph A. D., & Tygar J.D.. (2014).  Large-margin Convex Polytope Machine. Proceedings of the 27th International Conference on Neural Information Processing Systems. 3248–3256.
Tschantz, M. Carl, Afroz S., Paxson V., & Tygar J.D.. (2014).  On Modeling the Costs of Censorship. CoRR. abs/1409.3211,
2015
Miller, B., Kantchelian A., Tschantz M. Carl, Afroz S., Bachwani R., Faizullabhoy R., et al. (2015).  Back to the Future: Malware Detection with Temporally Consistent Labels. CoRR. abs/1510.07338,
Kantchelian, A., Tschantz M. Carl, Afroz S., Miller B., Shankar V., Bachwani R., et al. (2015).  Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels. Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security. 45–56.
Afroz, S., Fifield D., Tschantz M. Carl, Paxson V., & Tygar J.D.. (2015).  Censorship Arms Race: Research vs. Practice. Proceedings of the Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs).