Publications

Found 24 results
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Filters: Author is Michael Carl Tschantz  [Clear All Filters]
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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.
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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.
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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,
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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).