Membership Inference Attacks Against Recommender Systems

16 September 2021

Papers citing "Membership Inference Attacks Against Recommender Systems"

45 / 45 papers shown

Title
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference Depeng Chen Hao Chen Hulin Jin Jie Cui Hong Zhong 74 0 0 24 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models Qian Sun Hanpeng Wu Xi Sheryl Zhang 36 0 0 11 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 49 0 0 05 Nov 2024
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research Falguni Roy Xiaofeng Ding K. -K. R. Choo Pan Zhou FaML 23 0 0 19 Sep 2024
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks Yu He Boheng Li Yao Wang Mengda Yang Juan Wang Hongxin Hu Xingyu Zhao 27 4 0 31 Aug 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack Hao Li Zheng Li Siyuan Wu Chengrui Hu Yutong Ye Min Zhang Dengguo Feng Yang Zhang 32 3 0 21 Jul 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 39 2 0 04 Jun 2024
Privacy in LLM-based Recommendation: Recent Advances and Future Directions Sichun Luo Wei Shao Yuxuan Yao Jian Xu Mingyang Liu ... Maolin Wang Guanzhi Deng Hanxu Hou Xinyi Zhang Linqi Song 26 1 0 03 Jun 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought Xiaoxiao Chi Xuyun Zhang Yan Wang Lianyong Qi Amin Beheshti Xiaolong Xu Kim-Kwang Raymond Choo Shuo Wang Hongsheng Hu 26 0 0 11 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 37 4 0 07 May 2024
User Consented Federated Recommender System Against Personalized Attribute Inference Attack Qi Hu Yangqiu Song FedML 43 9 0 23 Dec 2023
Model Stealing Attack against Recommender System Zhihao Zhu Rui Fan Chenwang Wu Yi Yang Defu Lian Enhong Chen AAML 11 2 0 18 Dec 2023
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration Wenjie Fu Huandong Wang Chen Gao Guanghua Liu Yong Li Tao Jiang MIALM 24 43 0 10 Nov 2023
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models Minxing Zhang Ning Yu Rui Wen Michael Backes Yang Zhang DiffM 16 18 0 30 Oct 2023
Defense Against Model Extraction Attacks on Recommender Systems Sixiao Zhang Hongzhi Yin Hongxu Chen Cheng Long AAML 27 4 0 25 Oct 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 23 4 0 19 Oct 2023
Private Matrix Factorization with Public Item Features Mihaela Curmei Walid Krichene Li Zhang Mukund Sundararajan 26 3 0 17 Sep 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 19 5 0 16 Aug 2023
Recommendation Unlearning via Matrix Correction Jiahao Liu Dongsheng Li Hansu Gu T. Lu Jiongran Wu Peng Zhang Li Shang Ning Gu MU 20 4 0 29 Jul 2023
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark Jun Niu Xiaoyan Zhu Moxuan Zeng Ge Zhang Qingyang Zhao ... Peng Liu Yulong Shen Xiaohong Jiang Jianfeng Ma Yuqing Zhang 42 3 0 12 Jul 2023
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction Zitao Chen Karthik Pattabiraman 13 20 0 04 Jul 2023
Machine Unlearning: A Survey Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu MU 34 19 0 06 Jun 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 39 35 0 21 Dec 2022
Membership Inference Attacks Against Latent Factor Model Dazhi Hu AAML 22 1 0 15 Dec 2022
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems H. Hashemi Wenjie Xiong Liu Ke Kiwan Maeng M. Annavaram G. E. Suh Hsien-Hsin S. Lee 11 6 0 12 Dec 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 37 7 0 28 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 41 4 0 19 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 35 46 0 21 Sep 2022
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 40 18 0 18 Sep 2022
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 37 26 0 15 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures Haiping Huang Zhikun Zhang Yun Shen Michael Backes Qi Li Yang Zhang 27 7 0 04 Sep 2022
Data Provenance via Differential Auditing Xin Mu Ming Pang Feida Zhu 6 1 0 04 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory Yiyong Liu Zhengyu Zhao Michael Backes Yang Zhang 16 98 0 31 Aug 2022
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences Mubashir Imran Hongzhi Yin Tong Chen Nguyen Quoc Viet Hung Alexander Zhou Kai Zheng 27 69 0 28 Jul 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Z. Ren AAML 22 14 0 24 Jun 2022
The Privacy Onion Effect: Memorization is Relative Nicholas Carlini Matthew Jagielski Chiyuan Zhang Nicolas Papernot Andreas Terzis Florian Tramèr PILM MIACV 27 99 0 21 Jun 2022
Finding MNEMON: Reviving Memories of Node Embeddings Yun Shen Yufei Han Zhikun Zhang Min Chen Tingyue Yu Michael Backes Yang Zhang Gianluca Stringhini 11 14 0 14 Apr 2022
Privacy-preserving Generative Framework Against Membership Inference Attacks Ruikang Yang Jianfeng Ma Yinbin Miao Xindi Ma 17 5 0 11 Feb 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun M. Zhang Bolin Ding MU 25 85 0 18 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN) Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 31 12 0 16 Jan 2022
Property Inference Attacks Against GANs Junhao Zhou Yufei Chen Chao Shen Yang Zhang AAML MIACV 28 52 0 15 Nov 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 30 412 0 14 Mar 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 15 125 0 04 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 281 1,812 0 14 Dec 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 63 168 0 05 May 2020