Rethinking Membership Inference Attacks Against Transfer Learning

20 January 2025

Papers citing "Rethinking Membership Inference Attacks Against Transfer Learning"

49 / 49 papers shown

Title
Network Alignment Ruiming Tang Ziyun Yong Shuyu Jiang Xingshu Chen Yang Liu Yuanxing Zhang Gui-Quan Sun Wei Wang 83 1 0 15 Apr 2025
Secure Resource Allocation via Constrained Deep Reinforcement Learning Jianfei Sun Qiang Gao Cong Wu Yuxian Li Jiacheng Wang Dusit Niyato 102 1 0 20 Jan 2025
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks Zheng Lin Yuxin Zhang Zhaoyu Chen Zihan Fang Cong Wu Xianhao Chen Yue Gao Jun Luo 79 12 0 03 Jan 2025
Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models Yanwei Yue Jing Chen Ziwei Wang Ruichao Liang Ruiying Du 76 19 0 12 Nov 2024
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning Ao Liu Jing Chen Ruiying Du Yanwei Yue Yebo Feng Teng Li Jianfeng Ma 85 1 0 11 Nov 2024
DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid Consensus and Dynamic Shard Management Ao Liu Jing Chen Kun He Ruiying Du Jiahua Xu Yanwei Yue Yebo Feng Teng Li Jianfeng Ma 137 4 0 11 Nov 2024
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework Yuxin Zhang Zheng Lin Zhe Chen Zihan Fang Wenjun Zhu Xianhao Chen Jin Zhao Yue Gao FedML 77 17 0 20 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite Communications Jianfei Sun Cong Wu Shahid Mumtaz Junyi Tao Mingsheng Cao Mei Wang Valerio Frascolla 79 5 0 13 Sep 2024
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks Hangcheng Cao Longzhi Yuan Guowen Xu Ziyang He Zhengru Fang Yuguang Fang AAML 69 5 0 06 Sep 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 114 6 0 20 Aug 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 180 56 0 09 Jul 2024
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Xuanjie Hu Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Ang Li Praneeth Vepakomma Yue Gao 96 37 0 01 Jul 2024
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models Zihan Fang Zheng Lin Zhe Chen Xianhao Chen Yue Gao Yuguang Fang 98 38 0 09 Apr 2024
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks Zhengyi Lin Guanqiao Qu Wei Wei Xianhao Chen Kin K. Leung 126 51 0 19 Mar 2024
On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained Encoder Tingxu Han Shenghan Huang Ziqi Ding Weisong Sun Yebo Feng ... Hanwei Qian Cong Wu Quanjun Zhang Yang Liu Zhenyu Chen 54 8 0 06 Mar 2024
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation Li Lin Yixiang Liu Jiewei Wu Pujin Cheng Zhiyuan Cai Kenneth K. Y. Wong Xiaoying Tang FedML 135 6 0 27 Feb 2024
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy Weidong Liu Xiaojun Mao Xiaofei Zhang Xin Zhang 70 2 0 02 Jan 2024
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models Minxing Zhang Ning Yu Rui Wen Michael Backes Yang Zhang DiffM 55 19 0 30 Oct 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 69 17 0 30 Sep 2023
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities Zhengyi Lin Guanqiao Qu Qiyuan Chen Randy Sarayar Zhe Chen Kaibin Huang 105 99 0 28 Sep 2023
Optimal Resource Allocation for U-Shaped Parallel Split Learning Song Lyu Zhengyi Lin Guanqiao Qu Xianhao Chen Xiaoxia Huang P. Li 89 29 0 17 Aug 2023
Split Learning in 6G Edge Networks Zhengyi Lin Guanqiao Qu Xianhao Chen Kaibin Huang 116 76 0 21 Jun 2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks Zhengyi Lin Guangyu Zhu Yiqin Deng Xianhao Chen Yue Gao Kaibin Huang Yuguang Fang 94 113 0 26 Mar 2023
Manipulating Transfer Learning for Property Inference Yulong Tian Fnu Suya Anshuman Suri Fengyuan Xu David Evans AAML 65 6 0 21 Mar 2023
Membership Inference Attacks by Exploiting Loss Trajectory Yiyong Liu Zhengyu Zhao Michael Backes Yang Zhang 99 111 0 31 Aug 2022
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 152 713 0 07 Dec 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 194 124 0 05 Jan 2021
TransMIA: Membership Inference Attacks Using Transfer Shadow Training Seira Hidano Takao Murakami Yusuke Kawamoto MIACV 88 13 0 30 Nov 2020
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries Seng Pei Liew Tsubasa Takahashi MIACV FedML 73 9 0 27 Oct 2020
Face Mask Detection using Transfer Learning of InceptionV3 G. Jignesh Chowdary Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal CVBM 81 188 0 17 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 138 606 0 16 Sep 2020
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning Yang Zou Zhikun Zhang Michael Backes Yang Zhang MIACV 61 32 0 10 Sep 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 117 247 0 30 Jul 2020
Label-Only Membership Inference Attacks Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 115 519 0 28 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 117 226 0 15 Jul 2020
Revisiting Membership Inference Under Realistic Assumptions Bargav Jayaraman Lingxiao Wang Katherine Knipmeyer Quanquan Gu David Evans 80 152 0 21 May 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 390 378 0 24 Mar 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R. Schuster Tal Schuster Yoav Meri Vitaly Shmatikov AAML 60 39 0 14 Jan 2020
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 108 398 0 23 Sep 2019
Privacy Risks of Securing Machine Learning Models against Adversarial Examples Liwei Song Reza Shokri Prateek Mittal SILM MIACV AAML 94 248 0 24 May 2019
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 78 477 0 16 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 171 955 0 04 Jun 2018
Understanding Membership Inferences on Well-Generalized Learning Models Yunhui Long Vincent Bindschaedler Lei Wang Diyue Bu Wenyuan Xu Haixu Tang Carl A. Gunter Kai Chen MIALM MIACV 76 224 0 13 Feb 2018
Towards Measuring Membership Privacy Yunhui Long Vincent Bindschaedler Carl A. Gunter 59 85 0 25 Dec 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 318 4,175 0 18 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 1.1K 37,015 0 25 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.6K 195,176 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 1.1K 27,496 0 02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 2.0K 100,774 0 04 Sep 2014