Differentially Private Diffusion Models
Authors: Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis | Published: 2022-10-18 | Updated: 2023-12-31
MaSS: Multi-attribute Selective Suppression
Authors: Chun-Fu Chen, Shaohan Hu, Zhonghao Shi, Prateek Gulati, Bill Moriarty, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati | Published: 2022-10-18 | Updated: 2022-10-24
Scaling Adversarial Training to Large Perturbation Bounds
Authors: Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu | Published: 2022-10-18
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
Towards Generating Adversarial Examples on Mixed-type Data
Authors: Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang | Published: 2022-10-17
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Authors: Khoa D. Doan, Yingjie Lao, Ping Li | Published: 2022-10-17
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2
Authors: Pier Paolo Tricomi, Lisa Facciolo, Giovanni Apruzzese, Mauro Conti | Published: 2022-10-17 | Updated: 2023-04-30
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