Unleashing the Tiger: Inference Attacks on Split Learning
Authors: Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi | Published: 2020-12-04 | Updated: 2021-11-04
Membership Inference
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
Authors: Seira Hidano, Takao Murakami, Yusuke Kawamoto | Published: 2020-11-30 | Updated: 2021-04-23
Is Private Learning Possible with Instance Encoding?
Authors: Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramer | Published: 2020-11-10 | Updated: 2021-04-28
On the Privacy Risks of Algorithmic Fairness
Authors: Hongyan Chang, Reza Shokri | Published: 2020-11-07 | Updated: 2021-04-07
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries
Authors: Seng Pei Liew, Tsubasa Takahashi | Published: 2020-10-27
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes
Authors: Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong | Published: 2020-10-26
Image Obfuscation for Privacy-Preserving Machine Learning
Authors: Mathilde Raynal, Radhakrishna Achanta, Mathias Humbert | Published: 2020-10-20
Higher-Order Certification for Randomized Smoothing
Authors: Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel | Published: 2020-10-13
TextHide: Tackling Data Privacy in Language Understanding Tasks
Authors: Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora | Published: 2020-10-12
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Authors: Yael Mathov, Eden Levy, Ziv Katzir, Asaf Shabtai, Yuval Elovici | Published: 2020-10-07 | Updated: 2021-09-02