Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge Computing
Authors: Mohammad Malekzadeh, Deniz Gunduz | Published: 2022-12-08 | Updated: 2024-10-01
Privacy Assessment
StyleGAN as a Utility-Preserving Face De-identification Method
Authors: Seyyed Mohammad Sadegh Moosavi Khorzooghi, Shirin Nilizadeh | Published: 2022-12-05 | Updated: 2023-08-31
On the Alignment of Group Fairness with Attribute Privacy
Authors: Jan Aalmoes, Vasisht Duddu, Antoine Boutet | Published: 2022-11-18 | Updated: 2024-03-05
Provable Membership Inference Privacy
Authors: Zachary Izzo, Jinsung Yoon, Sercan O. Arik, James Zou | Published: 2022-11-12
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
Authors: Mauro Conti, Jiaxin Li, Stjepan Picek | Published: 2022-10-28
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
Authors: Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein | Published: 2022-10-19 | Updated: 2023-06-01
Differentially Private Diffusion Models
Authors: Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis | Published: 2022-10-18 | Updated: 2023-12-31
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling
Authors: Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang | Published: 2022-10-18 | Updated: 2024-08-01
Stochastic Differentially Private and Fair Learning
Authors: Andrew Lowy, Devansh Gupta, Meisam Razaviyayn | Published: 2022-10-17 | Updated: 2023-06-03
A General Framework for Auditing Differentially Private Machine Learning
Authors: Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa | Published: 2022-10-16 | Updated: 2023-01-06