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(2021) Differential Privacy Defenses and Sampling Attacks for Membership Inference.
(2021) InfoScrub: Towards Attribute Privacy by Targeted Obfuscation.
(2020) GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators.
(2020) Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks.
(2020) Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks.
(2019) Knockoff Nets: Stealing Functionality of Black-Box Models.
(2018) Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images.
(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.
(2017) Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images.
(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.
(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.