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Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data

22 November 2021

Papers citing "Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data"

28 / 28 papers shown

Title
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 130 0 0 28 Jan 2025
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks Xiaoguang Li Zitao Li Ninghui Li Wenhai Sun AAML 116 4 0 28 Jan 2025
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 99 1 0 19 Apr 2024
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 206 68 0 04 May 2021
Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism Fumiyuki Kato Yang Cao Masatoshi Yoshikawa AAML 36 31 0 14 Apr 2021
Data Poisoning Attacks to Deep Learning Based Recommender Systems Hai Huang Jiaming Mu Neil Zhenqiang Gong Qi Li Bin Liu Mingwei Xu AAML 76 129 0 07 Jan 2021
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems Minghong Fang Neil Zhenqiang Gong Jia-Wei Liu TDI 68 155 0 19 Feb 2020
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility Xiaolan Gu Ming Li Yueqiang Cheng Li Xiong Yang Cao 58 81 0 28 Nov 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 103 1,107 0 26 Nov 2019
Data Poisoning Attacks to Local Differential Privacy Protocols Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 76 77 0 05 Nov 2019
Manipulation Attacks in Local Differential Privacy Albert Cheu Adam D. Smith Jonathan R. Ullman 54 96 0 20 Sep 2019
Collecting and Analyzing Multidimensional Data with Local Differential Privacy Ning Wang Xiaokui Xiao Yifan Yang Jun Zhao S. Hui Hyejin Shin Junbum Shin Ge Yu 48 323 0 28 Jun 2019
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge Jinyuan Jia Neil Zhenqiang Gong 62 42 0 05 Dec 2018
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation Willem Blokland Jinyuan Jia Kishansingh Rajput 57 52 0 04 Dec 2018
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 184 187 0 02 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 283 1,054 0 29 Nov 2018
Poisoning Attacks to Graph-Based Recommender Systems Minghong Fang Guolei Yang Neil Zhenqiang Gong Jia-Wei Liu AAML 69 204 0 11 Sep 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 97 1,913 0 02 Jul 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 143 1,840 0 15 Dec 2017
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 58 686 0 05 Dec 2017
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization Luis Muñoz-González Battista Biggio Ambra Demontis Andrea Paudice Vasin Wongrassamee Emil C. Lupu Fabio Roli AAML 99 633 0 29 Aug 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 127 1,772 0 22 Aug 2017
Locally Differentially Private Heavy Hitter Identification Tianhao Wang Ninghui Li S. Jha 42 118 0 22 Aug 2017
Data Poisoning Attacks on Factorization-Based Collaborative Filtering Bo Li Yining Wang Aarti Singh Yevgeniy Vorobeychik AAML 77 345 0 29 Aug 2016
Minimax Optimal Procedures for Locally Private Estimation John C. Duchi Martin J. Wainwright Michael I. Jordan 73 435 0 08 Apr 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 96 1,992 0 25 Jul 2014
SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection Neil Zhenqiang Gong Mario Frank Prateek Mittal AAML 84 175 0 18 Dec 2013
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 115 1,593 0 27 Jun 2012