Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack
Authors: Bo Zhang, Ruotong Yu, Haipei Sun, Yanying Li, Jun Xu, Hui Wang | Published: 2020-01-24
Privacy Enhancing Technology
Ownership preserving AI Market Places using Blockchain
Authors: Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta | Published: 2020-01-18
IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing
Authors: Maurizio Aiello, Enrico Cambiaso, Roberto Canonico, Leonardo Maccari, Marco Mellia, Antonio Pescapè, Ivan Vaccari | Published: 2020-01-17
Key Protected Classification for Collaborative Learning
Authors: Mert Bülent Sarıyıldız, Ramazan Gökberk Cinbiş, Erman Ayday | Published: 2019-08-27 | Updated: 2020-04-22
AdaCliP: Adaptive Clipping for Private SGD
Authors: Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar | Published: 2019-08-20 | Updated: 2019-10-23
Interpretable Encrypted Searchable Neural Networks
Authors: Kai Chen, Zhongrui Lin, Jian Wan, Chungen Xu | Published: 2019-08-14
Local Differential Privacy for Deep Learning
Authors: M. A. P. Chamikara, P. Bertok, I. Khalil, D. Liu, S. Camtepe, M. Atiquzzaman | Published: 2019-08-08 | Updated: 2019-11-09
Optimal Attacks on Reinforcement Learning Policies
Authors: Alessio Russo, Alexandre Proutiere | Published: 2019-07-31
Making AI Forget You: Data Deletion in Machine Learning
Authors: Antonio Ginart, Melody Y. Guan, Gregory Valiant, James Zou | Published: 2019-07-11 | Updated: 2019-11-04
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
Authors: Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos | Published: 2019-05-29 | Updated: 2021-02-17