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2109.08045
Cited By
Membership Inference Attacks Against Recommender Systems
16 September 2021
Minxing Zhang
Zhaochun Ren
Zihan Wang
Sudipta Singha Roy
Zhumin Chen
Pengfei Hu
Yang Zhang
MIACV
AAML
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Papers citing
"Membership Inference Attacks Against Recommender Systems"
50 / 51 papers shown
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?
David Amebley
Sayanton Dibbo
AAML
219
0
0
24 Nov 2025
Non-Rival Data as Rival Products: An Encapsulation-Forging Approach for Data Synthesis
Kaidong Wang
Jiale Li
Shao-Bo Lin
Yao Wang
128
0
0
10 Nov 2025
IndirectAD: Practical Data Poisoning Attacks against Recommender Systems for Item Promotion
Zihao Wang
Tianhao Mao
XiaoFeng Wang
Di Tang
Xiaozhong Liu
AAML
184
0
0
08 Nov 2025
Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
Ziyao Cui
Minxing Zhang
Jian Pei
AAML
156
1
0
28 Oct 2025
Membership Inference Attacks on Recommender System: A Survey
Jiajie He
Xintong Chen
Xinyang Fang
Min-Chun Chen
Yuechun Gu
Keke Chen
222
1
0
14 Sep 2025
Membership Inference Attacks on LLM-based Recommender Systems
Jiajie He
Yuechun Gu
Min-Chun Chen
Keke Chen
Yuechun Gu
Keke Chen
AAML
387
1
0
26 Aug 2025
Membership Inference Attacks with False Discovery Rate Control
Chenxu Zhao
Wei Qian
Aobo Chen
Mengdi Huai
192
2
0
09 Aug 2025
RecPS: Privacy Risk Scoring for Recommender Systems
ACM Conference on Recommender Systems (RecSys), 2025
Jiajie He
Yuechun Gu
Keke Chen
387
4
0
24 Jul 2025
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
Depeng Chen
Hao Chen
Hulin Jin
Jie Cui
Hong Zhong
327
1
0
24 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
Qian Sun
Hanpeng Wu
Xi Sheryl Zhang
315
2
0
11 Nov 2024
TDDBench: A Benchmark for Training data detection
International Conference on Learning Representations (ICLR), 2024
Zhihao Zhu
Yi Yang
Defu Lian
337
1
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
228
2
0
19 Sep 2024
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
Conference on Computer and Communications Security (CCS), 2024
Yu He
Boheng Li
Yao Wang
Mengda Yang
Juan Wang
Hongxin Hu
Xingyu Zhao
441
22
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
232
28
0
21 Jul 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
448
3
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
192
3
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
246
7
0
11 May 2024
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan
DD
FedML
257
11
0
07 May 2024
User Consented Federated Recommender System Against Personalized Attribute Inference Attack
Qi Hu
Yangqiu Song
FedML
242
24
0
23 Dec 2023
Model Stealing Attack against Recommender System
Zhihao Zhu
Rui Fan
Chenwang Wu
Yi Yang
Defu Lian
Enhong Chen
AAML
194
4
0
18 Dec 2023
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
Neural Information Processing Systems (NeurIPS), 2023
Wenjie Fu
Huandong Wang
Chen Gao
Guanghua Liu
Yong Li
Tao Jiang
MIALM
585
30
0
10 Nov 2023
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Minxing Zhang
Ning Yu
Rui Wen
Michael Backes
Yang Zhang
DiffM
232
33
0
30 Oct 2023
Defense Against Model Extraction Attacks on Recommender Systems
Web Search and Data Mining (WSDM), 2023
Sixiao Zhang
Hongzhi Yin
Hongxu Chen
Cheng Long
AAML
303
10
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
367
10
0
19 Oct 2023
Private Matrix Factorization with Public Item Features
ACM Conference on Recommender Systems (RecSys), 2023
Mihaela Curmei
Walid Krichene
Li Zhang
Mukund Sundararajan
295
4
0
17 Sep 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Tianshuo Cong
Xinlei He
Yun Shen
Yang Zhang
AAML
TTA
204
11
0
16 Aug 2023
Recommendation Unlearning via Matrix Correction
Jiahao Liu
Dongsheng Li
Hansu Gu
Tun Lu
Jiongran Wu
Peng Zhang
Li Shang
Ning Gu
MU
287
7
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
236
6
0
12 Jul 2023
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction
Network and Distributed System Security Symposium (NDSS), 2023
Zitao Chen
Karthik Pattabiraman
220
40
0
04 Jul 2023
Machine Unlearning: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Heng Xu
Tianqing Zhu
Lefeng Zhang
Wanlei Zhou
Philip S. Yu
MU
304
47
0
06 Jun 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
A. Salem
Giovanni Cherubin
David Evans
Boris Köpf
Andrew Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
449
62
0
21 Dec 2022
Membership Inference Attacks Against Latent Factor Model
Dazhi Hu
AAML
229
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
180
7
0
12 Dec 2022
LegoNet: A Fast and Exact Unlearning Architecture
Sihao Yu
Fei Sun
Jiafeng Guo
Ruqing Zhang
Xueqi Cheng
MU
135
11
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
301
6
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
286
67
0
21 Sep 2022
Membership Inference Attacks and Generalization: A Causal Perspective
Conference on Computer and Communications Security (CCS), 2022
Teodora Baluta
Shiqi Shen
S. Hitarth
Shruti Tople
Prateek Saxena
OOD
MIACV
300
29
0
18 Sep 2022
M^4I: Multi-modal Models Membership Inference
Neural Information Processing Systems (NeurIPS), 2022
Pingyi Hu
Zihan Wang
Ruoxi Sun
Hu Wang
Minhui Xue
245
38
0
15 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures
Conference on Computer and Communications Security (CCS), 2022
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
245
8
0
04 Sep 2022
Data Provenance via Differential Auditing
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Xin Mu
Ming Pang
Feida Zhu
273
4
0
04 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory
Conference on Computer and Communications Security (CCS), 2022
Yiyong Liu
Subrat Kishore Dutta
Michael Backes
Yang Zhang
300
155
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
284
96
0
28 Jul 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Knowledge Discovery and Data Mining (KDD), 2022
Zihan Wang
Na Huang
Fei Sun
Sudipta Singha Roy
Zhumin Chen
Hengliang Luo
Maarten de Rijke
Zhaochun Ren
AAML
298
29
0
24 Jun 2022
The Privacy Onion Effect: Memorization is Relative
Neural Information Processing Systems (NeurIPS), 2022
Nicholas Carlini
Matthew Jagielski
Chiyuan Zhang
Nicolas Papernot
Seth Neel
Florian Tramèr
PILM
MIACV
394
149
0
21 Jun 2022
Finding MNEMON: Reviving Memories of Node Embeddings
Conference on Computer and Communications Security (CCS), 2022
Yun Shen
Yufei Han
Zhikun Zhang
Min Chen
Tingyue Yu
Michael Backes
Yang Zhang
Gianluca Stringhini
297
16
0
14 Apr 2022
Privacy-preserving Generative Framework Against Membership Inference Attacks
Ruikang Yang
Jianfeng Ma
Yinbin Miao
Xindi Ma
151
6
0
11 Feb 2022
Recommendation Unlearning
The Web Conference (WWW), 2022
C. L. Philip Chen
Fei Sun
Hao Fei
Bolin Ding
MU
346
139
0
18 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)
Journal of Network and Computer Applications (JNCA), 2022
Edan Habler
Ron Bitton
D. Avraham
D. Mimran
Eitan Klevansky
Oleg Brodt
Heiko Lehmann
Yuval Elovici
A. Shabtai
AAML
325
25
0
16 Jan 2022
Property Inference Attacks Against GANs
Network and Distributed System Security Symposium (NDSS), 2021
Junhao Zhou
Yufei Chen
Chao Shen
Yang Zhang
AAML
MIACV
268
70
0
15 Nov 2021
Membership Inference Attacks on Machine Learning: A Survey
ACM Computing Surveys (CSUR), 2021
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
456
644
0
14 Mar 2021
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