Key Protected Classification for Collaborative Learning
Authors: Mert Bülent Sarıyıldız, Ramazan Gökberk Cinbiş, Erman Ayday | Published: 2019-08-27 | Updated: 2020-04-22
Privacy Enhancing Technology
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
Private Hierarchical Clustering and Efficient Approximation
Authors: Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos | Published: 2019-04-09 | Updated: 2021-10-01
Privacy-preserving Machine Learning through Data Obfuscation
Authors: Tianwei Zhang, Zecheng He, Ruby B. Lee | Published: 2018-07-05 | Updated: 2018-07-13
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Authors: Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin | Published: 2018-07-02 | Updated: 2019-10-26