Manipulation Attacks in Local Differential Privacy

20 September 2019

Papers citing "Manipulation Attacks in Local Differential Privacy"

19 / 19 papers shown

Title
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 60 0 0 03 May 2025
Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams Xinyu Li Xuebin Ren Shusen Yang Liang Shi Chia-Mu Yu AAML 42 0 0 02 May 2025
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance Héber H. Arcolezi Sébastien Gambs AAML 56 0 0 03 Mar 2025
Deceptive Sequential Decision-Making via Regularized Policy Optimization Yerin Kim Alexander Benvenuti Bo Chen Mustafa O. Karabag A. Kulkarni Nathaniel D. Bastian Ufuk Topcu Matthew T. Hale AAML 115 1 0 30 Jan 2025
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks Xiaoguang Li Zitao Li Ninghui Li Wenhai Sun AAML 95 3 0 28 Jan 2025
Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model Tariq Bontekoe Hassan Jameel Asghar Fatih Turkmen 18 1 0 27 Jun 2024
Samplable Anonymous Aggregation for Private Federated Data Analysis Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 38 13 0 27 Jul 2023
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 16 0 0 01 Jul 2023
Robustness of Locally Differentially Private Graph Analysis Against Poisoning Jacob Imola A. Chowdhury Kamalika Chaudhuri AAML 28 6 0 25 Oct 2022
Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation Xiaoguang Li Ninghui Li Wenhai Sun Neil Zhenqiang Gong Hui Li AAML 68 16 0 24 May 2022
Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation Kunal Talwar FedML 35 10 0 22 Feb 2022
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy Seira Hidano Takao Murakami 31 8 0 21 Feb 2022
Communication-Efficient Triangle Counting under Local Differential Privacy Jacob Imola Takao Murakami Kamalika Chaudhuri 40 31 0 13 Oct 2021
Secure Random Sampling in Differential Privacy N. Holohan S. Braghin 18 16 0 21 Jul 2021
Differentially Private Histograms in the Shuffle Model from Fake Users Albert Cheu M. Zhilyaev FedML 42 27 0 06 Apr 2021
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
Data Poisoning Attacks to Local Differential Privacy Protocols Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 33 76 0 05 Nov 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 150 420 0 29 Nov 2018
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 91 278 0 02 Oct 2017