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
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Authors: Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David Doermann, Ziyan Wu | Published: 2022-10-16
New Secure Sparse Inner Product with Applications to Machine Learning
Authors: Guowen Xu, Shengmin Xu, Jianting Ning, Tianwei Zhang, Xinyi Huang, Hongwei Li, Rongxing Lu | Published: 2022-10-16
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder
Authors: Guowen Xu, Xingshuo Han, Gelei Deng, Tianwei Zhang, Shengmin Xu, Jianting Ning, Anjia Yang, Hongwei Li | Published: 2022-10-16
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Authors: Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang | Published: 2022-10-15 | Updated: 2023-06-06
Classification of Web Phishing Kits for early detection by platform providers
Authors: Andrea Venturi, Michele Colajanni, Marco Ramilli, Giorgio Valenziano Santangelo | Published: 2022-10-15
DI-NIDS: Domain Invariant Network Intrusion Detection System
Authors: Siamak Layeghy, Mahsa Baktashmotlagh, Marius Portmann | Published: 2022-10-15
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning
Authors: Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang | Published: 2022-10-13 | Updated: 2023-08-14
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
Authors: Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang | Published: 2022-10-13 | Updated: 2023-01-09