Learning Privacy Preserving Encodings through Adversarial Training

14 February 2018

Papers citing "Learning Privacy Preserving Encodings through Adversarial Training"

7 / 7 papers shown

Title
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations Kathleen Anderson Thomas Martinetz CVBM 73 0 0 12 Mar 2025
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4 Bishwas Mandal G. Amariucai Shuangqing Wei 33 1 0 07 Apr 2024
Learning Human Action Recognition Representations Without Real Humans Howard Zhong Samarth Mishra Donghyun Kim SouYoung Jin Yikang Shen Hildegard Kuehne Leonid Karlinsky Venkatesh Saligrama Aude Oliva Rogerio Feris 24 3 0 10 Nov 2023
Schrödinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera Hannah Kirkland S. Koppal 24 1 0 13 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 96 167 0 01 Mar 2023
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors Deeksha Dangwal Vincent T. Lee Hyo Jin Kim Tianwei Shen M. Cowan ... Brandon Reagen Tim Sherwood Vasileios Balntas Armin Alaghi Eddy Ilg AAML 11 15 0 09 May 2021