All Papers

0 / 0 papers shown

Title

LDPRecover: Recovering Frequencies from Poisoning Attacks against Local
Differential Privacy

v1v2 (latest)

LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy

IEEE International Conference on Data Engineering (ICDE), 2024

14 March 2024

Qingqing Ye

ArXiv (abs)PDF HTML

Papers citing "LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy"

6 / 6 papers shown

Title
On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Zijian Wang Wei Tong Tingxuan Han Haoyu Chen Tianling Zhang Yunlong Mao Sheng Zhong AAML 72 0 0 05 Sep 2025
Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential PrivacyIEEE Symposium on Security and Privacy (S&P), 2025 Takao Murakami Yuichi Sei Reo Eriguchi 205 2 0 10 Apr 2025
Data Poisoning Attacks to Locally Differentially Private Range Query Protocols Ting-Wei Liao Chih-Hsun Lin Yu-Lin Tsai Takao Murakami Chia-Mu Yu Jun Sakuma Chun-ying Huang Hiroaki Kikuchi AAML 270 1 0 05 Mar 2025
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning AttacksNetwork and Distributed System Security Symposium (NDSS), 2024 Xiaoguang Li Zitao Li Ninghui Li Wenhai Sun AAML 422 7 0 28 Jan 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 354 0 0 08 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 414 2 0 03 Jan 2025