Membership Inference Attacks and Defenses in Neural Network Pruning

7 February 2022

Papers citing "Membership Inference Attacks and Defenses in Neural Network Pruning"

31 / 31 papers shown

Title
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 28 0 0 15 May 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 48 0 0 08 Mar 2025
Trustworthy AI on Safety, Bias, and Privacy: A Survey Xingli Fang Jianwei Li Varun Mulchandani Jung-Eun Kim 40 0 0 11 Feb 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 69 13 0 09 Dec 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 37 2 0 15 Nov 2024
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices Xiaoyu Xia Ziqi Wang Ruoxi Sun B. Liu Ibrahim Khalil Minhui Xue MU 31 2 0 14 Oct 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
Representation Magnitude has a Liability to Privacy Vulnerability Xingli Fang Jung-Eun Kim 19 1 0 23 Jul 2024
Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri Xiao Zhang David E. Evans MIACV MIALM AAML 44 1 0 17 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 39 2 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 34 1 0 31 May 2024
Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang Jung-Eun Kim 38 2 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 23 8 0 04 Mar 2024
Discriminative Adversarial Unlearning Rohan Sharma Shijie Zhou Kaiyi Ji Changyou Chen MU 22 1 0 10 Feb 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 25 5 0 02 Jan 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Xingliang Yuan 59 6 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 37 16 0 11 Oct 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 11 16 0 30 Sep 2023
Artificial Intelligence for Web 3.0: A Comprehensive Survey Meng Shen Zhehui Tan Dusit Niyato Yuzhi Liu Jiawen Kang Zehui Xiong Liehuang Zhu Wei Wang Xuemin X. Shen 24 13 0 17 Aug 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks Shiwei Ding Lan Zhang Miao Pan Xiaoyong Yuan AAML 19 5 0 20 Jul 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations Hassan Ali Adnan Qayyum Ala I. Al-Fuqaha Junaid Qadir AAML 24 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 37 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 18 0 0 11 Apr 2023
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment Jie Zhu Leye Wang Xiao Han 15 9 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 13 2 0 27 Jul 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 16 5 0 11 Jun 2022
A Blessing of Dimensionality in Membership Inference through Regularization Jasper Tan Daniel LeJeune Blake Mason Hamid Javadi Richard G. Baraniuk 23 18 0 27 May 2022
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 38 97 0 17 Jan 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 194 358 0 24 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 185 1,027 0 06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 222 382 0 05 Mar 2020