Publications

Found 22 results
Author Title [ Type(Asc)] Year
Filters: Author is Michael Carl Tschantz  [Clear All Filters]
Conference Paper
Tschantz, M. Carl, Afroz S., Anonymous, & Paxson V. (2016).  SoK: Towards Grounding Censorship Circumvention in Empiricism. IEEE Symposium on Security and Privacy.
Miller, B., Kantchelian A., Tschantz M. Carl, Afroz S., Bachwani R., Faizullabhoy R., et al. (2016).  Reviewer Integration and Performance Measurement for Malware Detection. 13th Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA).
Tschantz, M. Carl, Datta A., Datta A., & Wing J. M. (2015).  A Methodology for Information Flow Experiments. 2015 IEEE 28th Computer Security Foundations Symposium. 554-568.
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.
Datta, A., Lu J., & Tschantz M. Carl (2019).  Evaluating Anti-Fingerprinting Privacy Enhancing Technologies. Proceedings of the WWW'19 (World Wide Web Conference).
Yeom, S., & Tschantz M. Carl (2018).  Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews. Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 33-41.
Singh, R., Nithyanand R., Afroz S., Tschantz M. Carl, Gill P., & Paxson V. (2017).  Characterizing the Nature and Dynamics of Tor Exit Blocking.. Proceedings of USENIX Security 2017.
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).
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.
Datta, A., Tschantz M. Carl, & Datta A. (2015).  Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination. Proceedings on Privacy Enhancing Technologies. 2015(1), 92-112.
Plane, A. C., Redmiles E. M., Mazurek M. L., & Tschantz M. Carl (2017).  Assessing user perceptions of online targeted advertising. Proceedings of USENIX Security 2017.
Arefi, M. Navaki, Pandi R., Tschantz M. Carl, Crandall J. R., Fu K-wa., Shi D. Qiu, et al. (In Press).  Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics.
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.
Tschantz, M. Carl, Egelman S., Choi J., Weaver N., & Friedland G. (2018).  The Accuracy of the Demographic Inferences Shown on Google's Ad Settings. Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 33-41.
Book Chapter
Tschantz, M. Carl, & Friedland G. (2019).  Privacy Concerns of Multimodal Sensor Systems. The Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations . 1,