Differential Privacy: What is all the noise about?
Authors: Roxana Danger | Published: 2022-05-19
プライバシー手法
On the (In)security of Peer-to-Peer Decentralized Machine Learning
Authors: Dario Pasquini, Mathilde Raynal, Carmela Troncoso | Published: 2022-05-17 | Updated: 2023-11-10
Privacy-Preserving Distributed Machine Learning Made Faster
Authors: Zoe L. Jiang, Jiajing Gu, Hongxiao Wang, Yulin Wu, Junbin Fang, Siu-Ming Yiu, Wenjian Luo, Xuan Wang | Published: 2022-05-12
Privacy accounting $\varepsilon$conomics: Improving differential privacy composition via a posteriori bounds
Authors: Valentin Hartmann, Vincent Bindschaedler, Alexander Bentkamp, Robert West | Published: 2022-05-06 | Updated: 2023-06-19
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
Authors: Karthik Garimella, Nandan Kumar Jha, Brandon Reagen | Published: 2021-07-26 | Updated: 2021-11-02
Exploiting Explanations for Model Inversion Attacks
Authors: Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim | Published: 2021-04-26 | Updated: 2022-03-14
Efficient Quantification of Profile Matching Risk in Social Networks
Authors: Anisa Halimi, Erman Ayday | Published: 2020-09-07
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Authors: Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson | Published: 2020-07-28
An Overview of Privacy in Machine Learning
Authors: Emiliano De Cristofaro | Published: 2020-05-18
On the (Un)Reliability of Privacy Policies in Android Apps
Authors: Luca Verderame, Davide Caputo, Andrea Romdhana, Alessio Merlo | Published: 2020-04-18