One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy

13 March 2022

Papers citing "One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy"

4 / 4 papers shown

Title
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models Kuofeng Gao Yufei Zhu Yiming Li Jiawang Bai Yong-Liang Yang Z. Li Shu-Tao Xia 36 0 0 05 May 2025
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning Md Tamjid Hossain Hung M. La AAML 11 0 0 01 Jul 2023
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 101 118 0 09 Feb 2021
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning Hsin-Pai Cheng P. Yu Haojing Hu Feng Yan Shiyu Li Hai Helen Li Yiran Chen FedML 24 23 0 27 Nov 2018