Publications

Found 26 results
Author [ Title(Desc)] Type Year
Filters: Author is Michael Tschantz  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
Tschantz, M. Carl, Egelman S., Choi J., Weaver N., & Friedland G. (2016).  The Accuracy of the Demographic Inferences Shown on Google's Ad Settings.
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.
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.
Arefi, M. Navaki, Pandi R., Tschantz M. Carl, Crandall J. R., Fu K-wa., Shi D. Qiu, et al. (2019).  Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics.
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.
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.
Yeom, S., & Tschantz M. (2021).  Avoiding Disparity Amplification under Different Worldviews. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 273-283.
B
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,
Afroz, S., Javed M., Paxson V., Qazi S. Asif, Sajid S., & Tschantz M. Carl (2018).  A Bestiary of Blocking The Motivations and Modes behind Website Unavailability.
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.
C
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).
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.
Choi, J., Akkus I. Ekin, Egelman S., Friedland G., Sommer R., Tschantz M. Carl, et al. (2018).  Cybercasing 2.0: You Get What You Pay For.
D
Tschantz, M. Carl, Sen S., & Datta A. (2017).  Differential Privacy as a Causal Property.
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.
E
Datta, A., Lu J., & Tschantz M. Carl (2019).  Evaluating Anti-Fingerprinting Privacy Enhancing Technologies. Proceedings of the WWW'19 (World Wide Web Conference).
Afroz, S., Tschantz M. Carl, Sajid S., Qazi S. Asif, Javed M., & Paxson V. (2018).  Exploring Server-side Blocking of Regions.
H
Saha, D., Schumann C., McElfresh D. C., Dickerson J. P., Mazurek M. L., & Tschantz M. Carl (2020).  Human Comprehension of Fairness in Machine Learning. AIES '20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. 152.
Lee, M. Kyung, Grgić-Hlača N., Tschantz M. Carl, Binns R., Weller A., Carney M., et al. (2020).  Human-Centered Approaches to Fair and Responsible AI. CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. 1-8.
L
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.
M
Tschantz, M. Carl (2023).  A Mathematical Model of Contextual Integrity. ICSI Technical Report.
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.
Tschantz, M. Carl, Afroz S., Paxson V., & Tygar J.D.. (2014).  On Modeling the Costs of Censorship. CoRR. abs/1409.3211,
P
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,
R
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).

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