Exploiting Unintended Feature Leakage in Collaborative Learning

10 May 2018

Luca Melis

Congzheng Song

Emiliano De Cristofaro

Vitaly Shmatikov

FedML

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Papers citing "Exploiting Unintended Feature Leakage in Collaborative Learning"

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Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 30 1 0 29 Aug 2024
LLM-PBE: Assessing Data Privacy in Large Language Models Qinbin Li Junyuan Hong Chulin Xie Jeffrey Tan Rachel Xin ... Dan Hendrycks Zhangyang Wang Bo Li Bingsheng He Dawn Song ELM PILM 36 12 0 23 Aug 2024
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Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation Hao Wang Yichen Cai Jun Wang Chuan Ma Chunpeng Ge Xiangmou Qu Lu Zhou 33 1 0 13 Aug 2024
Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data Ren Ozeki Haruki Yonekura Hamada Rizk Hirozumi Yamaguchi 21 1 0 09 Aug 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 37 1 0 29 Jul 2024
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory Xiaojin Zhang Wei Chen FedML 18 0 0 23 Jul 2024
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? J. Hayase Alisa Liu Yejin Choi Sewoong Oh Noah A. Smith 37 10 0 23 Jul 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack Hao Li Zheng Li Siyuan Wu Chengrui Hu Yutong Ye Min Zhang Dengguo Feng Yang Zhang 30 3 0 21 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 30 19 0 16 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 47 1 0 13 Jul 2024
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization Wenrui Yu Qiongxiu Li Milan Lopuhaä-Zwakenberg Mads Græsbøll Christensen Richard Heusdens FedML 16 3 0 12 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 22 0 0 12 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 29 2 0 09 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 76 4 0 06 Jul 2024
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning Xiaojin Zhang Mingcong Xu Wei Chen FedML 19 0 0 05 Jul 2024
QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning Micha V. Nowak Tim P. Bott David Khachaturov Frank Puppe Adrian Krenzer Amar Hekalo FedML 17 1 0 26 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 27 1 0 16 Jun 2024
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model Jiayang Meng Tao Huang Hong Chen Cuiping Li DiffM 21 1 0 13 Jun 2024
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey Shang Wang Tianqing Zhu Bo Liu Ming Ding Xu Guo Dayong Ye Wanlei Zhou Philip S. Yu PILM 57 17 0 12 Jun 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks Peizhi Niu Chao Pan Siheng Chen Olgica Milenkovic AAML 23 0 0 12 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 38 16 0 08 Jun 2024
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain Lei Xu Yulong Chen Yuntian Chen Longfeng Nie Xuetao Wei Liang Xue Dongxiao Zhang 20 0 0 07 Jun 2024
Federated Representation Learning in the Under-Parameterized Regime Renpu Liu Cong Shen Jing Yang 24 4 0 07 Jun 2024
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients T. Eltaras Q. Malluhi Alessandro Savino S. Di Carlo Adnan Qayyum Junaid Qadir FedML 18 0 0 06 Jun 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning Kun Wang Yi-Rui Yang Wu-Jun Li 31 0 0 05 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 39 2 0 04 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 27 1 0 01 Jun 2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning Mina Rafiei Mohammadmahdi Maheri Hamid R. Rabiee 27 0 0 01 Jun 2024
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning Xiao-ying Gan Shanyu Gan Taizhi Su Peng Liu FedML 25 0 0 31 May 2024
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning Yunbo Li Jiaping Gui Yue Wu FedML 25 0 0 25 May 2024
Decaf: Data Distribution Decompose Attack against Federated Learning Zhiyang Dai Chunyi Zhou Anmin Fu 26 2 0 24 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 35 1 0 24 May 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation Peihua Mai Ran Yan Yan Pang FedML 43 5 0 24 May 2024
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework Daniel Commey Sena Hounsinou Garth V. Crosby 13 2 0 19 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 36 2 0 16 May 2024
Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices Kongyang Chen Dongping Zhang Sijia Guan Bing Mi Jiaxing Shen Guoqing Wang FedML 24 1 0 14 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning Xavier Martínez Luana Rebeca P. Díaz Redondo M. Fernández-Veiga FedML 21 2 0 02 May 2024
The Privacy Power of Correlated Noise in Decentralized Learning Youssef Allouah Anastasia Koloskova Aymane El Firdoussi Martin Jaggi R. Guerraoui 29 4 0 02 May 2024
Recovering Labels from Local Updates in Federated Learning Huancheng Chen H. Vikalo FedML AAML 14 4 0 02 May 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning Marco Arazzi S. Nicolazzo Antonino Nocera FedML AAML 31 3 0 18 Apr 2024
Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks Kavita Kumari Murtuza Jadliwala S. Jha Anindya Maiti 34 2 0 10 Apr 2024
pfl-research: simulation framework for accelerating research in Private Federated Learning Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 31 5 0 09 Apr 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 51 4 0 02 Apr 2024
Privacy Re-identification Attacks on Tabular GANs Abdallah Alshantti Adil Rasheed Frank Westad AAML 19 3 0 31 Mar 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 57 8 0 31 Mar 2024
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices Hanqing Fu Gaolei Li Jun Wu Jianhua Li Xi Lin Kai Zhou Yuchen Liu AAML 33 1 0 27 Mar 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning Joshua C. Zhao Ahaan Dabholkar Atul Sharma Saurabh Bagchi FedML 28 2 0 26 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 33 4 0 21 Mar 2024
Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption Yuqi Guo Lin Li Zhongxiang Zheng Hanrui Yun Ruoyan Zhang Xiaolin Chang Zhixuan Gao FedML 19 1 0 18 Mar 2024