Bounding Reconstruction Attack Success of Adversaries Without Data Priors
Authors: Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis | Published: 2024-02-20
プライバシー保護手法
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
Authors: Songjie Xie, Youlong Wu, Jiaxuan Li, Ming Ding, Khaled B. Letaief | Published: 2024-02-16
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets
Authors: Irina Arévalo, Jose L. Salmeron | Published: 2024-02-15
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
Authors: Yu Liu, Zibo Wang, Yifei Zhu, Chen Chen | Published: 2024-02-15
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
Authors: Andrew Lowy, Zhuohang Li, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang | Published: 2024-02-14
Auditing Private Prediction
Authors: Karan Chadha, Matthew Jagielski, Nicolas Papernot, Christopher Choquette-Choo, Milad Nasr | Published: 2024-02-14
I can’t see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption
Authors: Prajwal Panzade, Daniel Takabi, Zhipeng Cai | Published: 2024-02-14
Differentially Private Training of Mixture of Experts Models
Authors: Pierre Tholoniat, Huseyin A. Inan, Janardhan Kulkarni, Robert Sim | Published: 2024-02-11
Systematic Assessment of Tabular Data Synthesis Algorithms
Authors: Yuntao Du, Ninghui Li | Published: 2024-02-09 | Updated: 2024-04-13
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization
Authors: Ce Feng, Parv Venkitasubramaniam | Published: 2024-02-09