Optimizing Privacy and Utility Tradeoffs for Group Interests Through Harmonization

7 April 2024

Papers citing "Optimizing Privacy and Utility Tradeoffs for Group Interests Through Harmonization"

9 / 9 papers shown

Title
CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott Shobha Venkataraman Awni Y. Hannun Shubho Sengupta Mark Ibrahim Laurens van der Maaten 94 364 0 02 Sep 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 170 1,288 0 06 Jun 2021
Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary Ece Naz Erdemir Pier Luigi Dragotti Deniz Gunduz 75 9 0 16 Feb 2021
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao Yi-Hsuan Tsai Kihyuk Sohn Manmohan Chandraker Ming-Hsuan Yang 71 75 0 22 Nov 2019
Distributed generation of privacy preserving data with user customization Xiao Chen Thomas Navidi Stefano Ermon Ram Rajagopal 58 11 0 20 Apr 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 83 53 0 26 Dec 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 76 153 0 22 Jul 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 384 685 0 17 Feb 2018
Deep Private-Feature Extraction S. A. Ossia A. Taheri Ali Shahin Shamsabadi Kleomenis Katevas Hamed Haddadi Hamid R. Rabiee 36 96 0 09 Feb 2018