HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing
Authors: Xiao Han, Yuncong Yang, Junjie Wu | Published: 2021-12-15
プライバシーリスク管理
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
Node-Level Differentially Private Graph Neural Networks
Authors: Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain | Published: 2021-11-23 | Updated: 2022-08-26
Flatee: Federated Learning Across Trusted Execution Environments
Authors: Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, Debayan Gupta | Published: 2021-11-12
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System
Authors: Timon Rückel, Johannes Sedlmeir, Peter Hofmann | Published: 2021-11-11
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities
Authors: Esma Mansouri-Benssassi, Simon Rogers, Jim Smith, Felix Ritchie, Emily Jefferson | Published: 2021-11-10 | Updated: 2022-08-20