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2202.03335
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Membership Inference Attacks and Defenses in Neural Network Pruning
USENIX Security Symposium (USENIX Security), 2022
7 February 2022
Xiaoyong Yuan
Lan Zhang
AAML
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Papers citing
"Membership Inference Attacks and Defenses in Neural Network Pruning"
32 / 32 papers shown
Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
Mengyu Sun
Ziyuan Yang
Yongqiang Huang
Hui Yu
Yingyu Chen
Shuren Qi
Andrew Beng Jin Teoh
Yi Zhang
FedML
183
4
0
28 Aug 2025
SoK: Data Minimization in Machine Learning
Robin Staab
Nikola Jovanović
Kimberly Mai
Prakhar Ganesh
Martin Vechev
Ferdinando Fioretto
Matthew Jagielski
176
1
0
14 Aug 2025
Membership and Memorization in LLM Knowledge Distillation
Ziqi Zhang
Ali Shahin Shamsabadi
Hanxiao Lu
Yifeng Cai
Hamed Haddadi
145
2
0
09 Aug 2025
CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage
Na Li
Yansong Gao
Hongsheng Hu
Boyu Kuang
Anmin Fu
259
0
0
22 Jul 2025
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
Nima Naderloui
Shenao Yan
Binghui Wang
Jie Fu
Wendy Hui Wang
Weiran Liu
Yuan Hong
AAML
345
3
0
16 Jun 2025
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
517
1
0
15 May 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
511
2
0
08 Mar 2025
Trustworthy AI: Safety, Bias, and Privacy -- A Survey
Xingli Fang
Jianwei Li
Varun Mulchandani
Jung-Eun Kim
454
0
0
11 Feb 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2024
Li Bai
Haibo Hu
Qingqing Ye
Haoyang Li
Leixia Wang
Jianliang Xu
FedML
317
91
0
09 Dec 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models
ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Ding Li
Ziqi Zhang
Mengyu Yao
Y. Cai
Yao Guo
Xiangqun Chen
FedML
364
12
0
15 Nov 2024
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices
IEEE Symposium on Security and Privacy (S&P), 2024
Xiaoyu Xia
Ziqi Wang
Ruoxi Sun
B. Liu
Ibrahim Khalil
Minhui Xue
MU
435
13
0
14 Oct 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
449
22
0
31 Aug 2024
Representation Magnitude has a Liability to Privacy Vulnerability
Xingli Fang
Jung-Eun Kim
308
3
0
23 Jul 2024
Do Parameters Reveal More than Loss for Membership Inference?
Anshuman Suri
Xiao Zhang
David Evans
MIACV
MIALM
AAML
526
9
0
17 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
453
3
0
04 Jun 2024
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study
Pallavi Mitra
Gesina Schwalbe
Nadja Klein
AAML
272
4
0
31 May 2024
Center-Based Relaxed Learning Against Membership Inference Attacks
Xingli Fang
Jung-Eun Kim
327
5
0
26 Apr 2024
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
Sayedeh Leila Noorbakhsh
Binghui Zhang
Yuan Hong
Binghui Wang
AAML
336
17
0
04 Mar 2024
Discriminative Adversarial Unlearning
Rohan Sharma
Shijie Zhou
Kaiyi Ji
Changyou Chen
MU
192
2
0
10 Feb 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment
IEEE Transactions on Software Engineering (TSE), 2024
Jie Zhu
Leye Wang
Xiao Han
Anmin Liu
Tao Xie
AAML
261
6
0
02 Jan 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
Network and Distributed System Security Symposium (NDSS), 2023
Bang Wu
He Zhang
Xiangwen Yang
Shuo Wang
Minhui Xue
Shirui Pan
Lizhen Qu
274
16
0
13 Dec 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML
Ziqi Zhang
Chen Gong
Yifeng Cai
Yuanyuan Yuan
Bingyan Liu
Ding Li
Yao Guo
Xiangqun Chen
FedML
224
52
0
11 Oct 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Hongsheng Hu
Xuyun Zhang
Z. Salcic
Lichao Sun
K. Choo
Gillian Dobbie
208
33
0
30 Sep 2023
Artificial Intelligence for Web 3.0: A Comprehensive Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Meng Shen
Zhehui Tan
Dusit Niyato
Yuzhi Liu
Jiawen Kang
Zehui Xiong
Liehuang Zhu
Wei Wang
Xuemin
X. Shen
254
31
0
17 Aug 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Shiwei Ding
Lan Zhang
Miao Pan
Xiaoyong Yuan
AAML
307
16
0
20 Jul 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations
Hassan Ali
Adnan Qayyum
Ala I. Al-Fuqaha
Junaid Qadir
AAML
342
3
0
11 Jul 2023
Sparsity in neural networks can improve their privacy
Antoine Gonon
Léon Zheng
Clément Lalanne
Quoc-Tung Le
Guillaume Lauga
Can Pouliquen
301
2
0
20 Apr 2023
Can sparsity improve the privacy of neural networks?
Antoine Gonon
Léon Zheng
Clément Lalanne
Quoc-Tung Le
Guillaume Lauga
Can Pouliquen
215
2
0
11 Apr 2023
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment
International Conference on Automated Software Engineering (ASE), 2022
Jie Zhu
Leye Wang
Xiao Han
291
15
0
11 Aug 2022
Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network
Zhongzhi Li
Yunmei Zhao
Jinyi Ma
J. Ai
Yiqun Dong
209
2
0
27 Jul 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Nuo Xu
Binghui Wang
Ran Ran
Wujie Wen
Parv Venkitasubramaniam
AAML
276
8
0
11 Jun 2022
A Blessing of Dimensionality in Membership Inference through Regularization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Jasper Tan
Daniel LeJeune
Blake Mason
Hamid Javadi
Richard G. Baraniuk
218
22
0
27 May 2022
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