Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,059 papers shown

Title
A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks Muhammad Firdaus Kyung-Hyune Rhee 12 7 0 18 Aug 2022
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy Wenqiang Ruan Ming Xu Wenjing Fang Li Wang Lei Wang Wei Han 45 13 0 18 Aug 2022
On the Privacy Effect of Data Enhancement via the Lens of Memorization Xiao-Li Li Qiongxiu Li Zhan Hu Xiaolin Hu 40 13 0 17 Aug 2022
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models Jihyeon Hyeong Jayoung Kim Noseong Park S. Jajodia MIACV 36 13 0 17 Aug 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning Zhaomin Wu Yue Liu Bingsheng He FedML 43 38 0 13 Aug 2022
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment Jie Zhu Leye Wang Xiao Han 40 9 0 11 Aug 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 28 3 0 04 Aug 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yang Bai Yong Jiang Shutao Xia Xiaochun Cao Kui Ren AAML 46 12 0 04 Aug 2022
Differentially Private Vertical Federated Clustering Zitao Li Tianhao Wang Ninghui Li FedML 60 18 0 02 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel Shubhi Shukla Manaar Alam Sarani Bhattacharya Debdeep Mukhopadhyay Pabitra Mitra AAML 27 2 0 01 Aug 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 20 7 0 28 Jul 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 34 69 0 28 Jul 2022
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks Mauro Conti Jiaxin Li S. Picek Jing Xu AAML 32 23 0 27 Jul 2022
Membership Inference Attacks via Adversarial Examples Hamid Jalalzai Elie Kadoche Rémi Leluc Vincent Plassier AAML FedML MIACV 58 7 0 27 Jul 2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning Phung Lai Han Hu Nhathai Phan Ruoming Jin My T. Thai An M. Chen 25 2 0 26 Jul 2022
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning Xinlei He Hongbin Liu Neil Zhenqiang Gong Yang Zhang AAML MIACV 25 14 0 25 Jul 2022
Careful What You Wish For: on the Extraction of Adversarially Trained Models Kacem Khaled Gabriela Nicolescu F. Magalhães MIACV AAML 35 4 0 21 Jul 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie Pin-Yu Chen Qinbin Li Arash Nourian Ce Zhang Bo Li FedML 47 16 0 20 Jul 2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond Yuzheng Hu Tianle Cai Jinyong Shan Shange Tang Chaochao Cai Ethan Song Yue Liu D. Song FedML AAML 30 9 0 19 Jul 2022
Study of the performance and scalability of federated learning for medical imaging with intermittent clients Judith Sáinz-Pardo Díaz Á. García FedML OOD 32 51 0 18 Jul 2022
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms Michelle Chen O. Ohrimenko FedML 24 12 0 18 Jul 2022
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar S. Kadhe Heiko Ludwig FedML 38 22 0 15 Jul 2022
Combing for Credentials: Active Pattern Extraction from Smart Reply Bargav Jayaraman Esha Ghosh Melissa Chase Sambuddha Roy Wei Dai David Evans SILM 20 8 0 14 Jul 2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility Dingfan Chen Ning Yu Mario Fritz 24 40 0 12 Jul 2022
Image and Model Transformation with Secret Key for Vision Transformer Hitoshi Kiya Ryota Iijima Maungmaung Aprilpyone Yuma Kinoshita ViT 36 21 0 12 Jul 2022
Machine Learning Security in Industry: A Quantitative Survey Kathrin Grosse L. Bieringer Tarek R. Besold Battista Biggio Katharina Krombholz 45 32 0 11 Jul 2022
Hercules: Boosting the Performance of Privacy-preserving Federated Learning Guowen Xu Xingshuo Han Shengmin Xu Tianwei Zhang Hongwei Li Xinyi Huang R. Deng FedML 43 16 0 11 Jul 2022
The Poisson binomial mechanism for secure and private federated learning Wei-Ning Chen Ayfer Özgür Peter Kairouz FedML 18 2 0 09 Jul 2022
Privacy-Preserving Synthetic Educational Data Generation Jill-Jênn Vie Tomas Rigaux Sein Minn 27 6 0 07 Jul 2022
Scaling Private Deep Learning with Low-Rank and Sparse Gradients Ryuichi Ito Seng Pei Liew Tsubasa Takahashi Yuya Sasaki Makoto Onizuka 30 1 0 06 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 36 13 0 05 Jul 2022
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent Paul Mangold A. Bellet Joseph Salmon Marc Tommasi 51 5 0 04 Jul 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 80 102 0 30 Jun 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 27 17 0 30 Jun 2022
Approximate Data Deletion in Generative Models Zhifeng Kong Scott Alfeld MU 22 4 0 29 Jun 2022
Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model Xudong Pan Yifan Yan Sheng Zhang Mi Zhang Min Yang 40 1 0 29 Jun 2022
On the amplification of security and privacy risks by post-hoc explanations in machine learning models Pengrui Quan Supriyo Chakraborty J. Jeyakumar Mani B. Srivastava MIACV AAML 16 5 0 28 Jun 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 Zhaochun Ren AAML 45 14 0 24 Jun 2022
Device-centric Federated Analytics At Ease Li Zhang Junji Qiu Shangguang Wang Mengwei Xu FedML 8 2 0 23 Jun 2022
A Framework for Understanding Model Extraction Attack and Defense Xun Xian Min-Fong Hong Jie Ding SILM MIACV FedML 21 2 0 23 Jun 2022
FLaaS: Cross-App On-device Federated Learning in Mobile Environments Kleomenis Katevas Diego Perino N. Kourtellis FedML 19 1 0 22 Jun 2022
Natural Backdoor Datasets Emily Wenger Roma Bhattacharjee A. Bhagoji Josephine Passananti Emilio Andere Haitao Zheng Ben Y. Zhao AAML 35 4 0 21 Jun 2022
The Privacy Onion Effect: Memorization is Relative Nicholas Carlini Matthew Jagielski Chiyuan Zhang Nicolas Papernot Andreas Terzis Florian Tramèr PILM MIACV 35 102 0 21 Jun 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 59 107 0 16 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Bin Cui FedML 26 59 0 16 Jun 2022
Architectural Backdoors in Neural Networks Mikel Bober-Irizar Ilia Shumailov Yiren Zhao Robert D. Mullins Nicolas Papernot AAML 28 23 0 15 Jun 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 45 132 0 15 Jun 2022
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger Zhiqi Bu Yu Wang Sheng Zha George Karypis 37 69 0 14 Jun 2022
Self-Supervised Pretraining for Differentially Private Learning Arash Asadian Evan Weidner Lei Jiang PICV 35 3 0 14 Jun 2022
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN R. V. Bergen Jean-Francois Rajotte F. Yousefirizi Arman Rahmim R. Ng MedIm 28 1 0 13 Jun 2022