Found 6 results
Author Title Type [ Year(Asc)]
Filters: Author is J.D. Tygar  [Clear All Filters]
Miller B, Kantchelian A, Tschantz MC, Afroz S, Bachwani R, Faizullabhoy R, Huang L, Shankar V, Wu T, Wu G et al..  2015.  Back to the Future: Malware Detection with Temporally Consistent Labels. CoRR. abs/1510.07338
Kantchelian A, Tschantz MC, Afroz S, Miller B, Shankar V, Bachwani R, Joseph AD, Tygar J.D..  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 MC, Paxson V, Tygar J.D..  2015.  Censorship Arms Race: Research vs. Practice. Proceedings of the Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs).
Miller B, Kantchelian A, Afroz S, Bachwani R, Dauber E, Huang L, Tschantz MC, Joseph AD, Tygar J.D..  2014.  Adversarial Active Learning. Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop (AISec '14). :3–14.
Kantchelian A, Tschantz MC, Huang L, Bartlett PL, Joseph AD, Tygar J.D..  2014.  Large-margin Convex Polytope Machine. Proceedings of the 27th International Conference on Neural Information Processing Systems. :3248–3256.
Tschantz MC, Afroz S, Paxson V, Tygar J.D..  2014.  On Modeling the Costs of Censorship. CoRR. abs/1409.3211