Differentially-Private Sublinear-Time Clustering
Authors: Jeremiah Blocki, Elena Grigorescu, Tamalika Mukherjee | Published: 2021-12-27
プライバシーリスク管理
SoK: A Study of the Security on Voice Processing Systems
Authors: Robert Chang, Logan Kuo, Arthur Liu, Nader Sehatbakhsh | Published: 2021-12-24
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
Authors: Ismat Jarin, Birhanu Eshete | Published: 2021-12-24
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Authors: Shangwei Guo, Xu Zhang, Fei Yang, Tianwei Zhang, Yan Gan, Tao Xiang, Yang Liu | Published: 2021-12-19
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing
Authors: Xiao Han, Yuncong Yang, Junjie Wu | Published: 2021-12-15
Membership Inference Attacks From First Principles
Authors: Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, Florian Tramer | Published: 2021-12-07 | Updated: 2022-04-12
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Authors: Vasisht Duddu, Sebastian Szyller, N. Asokan | Published: 2021-12-04 | Updated: 2022-09-05
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity
Authors: Honglu Jiang, Yifeng Gao, S M Sarwar, Luis GarzaPerez, Mahmudul Robin | Published: 2021-12-03
FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting
Authors: Pouneh Nikkhah Bahrami, Umar Iqbal, Zubair Shafiq | Published: 2021-12-03 | Updated: 2021-12-14
Improving Differentially Private SGD via Randomly Sparsified Gradients
Authors: Junyi Zhu, Matthew B. Blaschko | Published: 2021-12-01 | Updated: 2023-06-28