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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

4 June 2018

Mario Fritz

Michael Backes

MIACV

MIALM

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Papers citing "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"

50 / 518 papers shown

Title
Graph UnlearningConference on Computer and Communications Security (CCS), 2021 Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 166 184 0 27 Mar 2021
The Influence of Dropout on Membership Inference in Differentially Private Models Erick Galinkin MIACV 85 8 0 16 Mar 2021
Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021 Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 279 568 0 14 Mar 2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning ModelsEuropean Symposium on Security and Privacy (EuroS&P), 2021 Benjamin Zi Hao Zhao Aviral Agrawal Catisha Coburn Hassan Jameel Asghar Raghav Bhaskar M. Kâafar Darren Webb Peter Dickinson MIACV 118 54 0 12 Mar 2021
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods William Paul Yinzhi Cao Miaomiao Zhang Philippe Burlina AAML MedIm 246 15 0 04 Mar 2021
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized SmoothingProceedings on Privacy Enhancing Technologies (PoPETs), 2021 Wenxiao Wang Tianhao Wang Lun Wang Nanqing Luo Pan Zhou Basel Alomair R. Jia 205 17 0 02 Mar 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), 2021 R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan 216 35 0 16 Feb 2021
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A SurveyACM Computing Surveys (CSUR), 2021 Yuantian Miao Chao Chen Lei Pan Qing-Long Han Jun Zhang Yang Xiang AAML 199 73 0 16 Feb 2021
Membership Inference Attacks are Easier on Difficult ProblemsIEEE International Conference on Computer Vision (ICCV), 2021 Avital Shafran Shmuel Peleg Yedid Hoshen MIACV 150 24 0 15 Feb 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks Xinlei He Rui Wen Yixin Wu Michael Backes Yun Shen Yang Zhang 204 112 0 10 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive LearningConference on Computer and Communications Security (CCS), 2021 Xinlei He Yang Zhang 239 58 0 08 Feb 2021
On Utility and Privacy in Synthetic Genomic DataNetwork and Distributed System Security Symposium (NDSS), 2021 Bristena Oprisanu Georgi Ganev Emiliano De Cristofaro 184 20 0 05 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning ModelsUSENIX Security Symposium (USENIX Security), 2021 Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 180 152 0 04 Feb 2021
Membership Inference Attack on Graph Neural NetworksInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2021 Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 285 126 0 17 Jan 2021
Training Data Leakage Analysis in Language Models Huseyin A. Inan Osman Ramadan Lukas Wutschitz Daniel Jones Victor Rühle James Withers Robert Sim MIACV PILM 221 11 0 14 Jan 2021
Model Extraction and Defenses on Generative Adversarial Networks Hailong Hu Jun Pang SILM MIACV 145 15 0 06 Jan 2021
Practical Blind Membership Inference Attack via Differential ComparisonsNetwork and Distributed System Security Symposium (NDSS), 2021 Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 308 131 0 05 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road AheadIEEE design & test (DT), 2020 Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 214 108 0 04 Jan 2021
Federated Unlearning Gaoyang Liu Xiaoqiang Ma Yang Yang Chen Wang Jiangchuan Liu MU 276 69 0 27 Dec 2020
FedServing: A Federated Prediction Serving Framework Based on Incentive MechanismIEEE Conference on Computer Communications (INFOCOM), 2020 Jiasi Weng Jian Weng Hongwei Huang Chengjun Cai Cong Wang FedML 135 31 0 19 Dec 2020
TransMIA: Membership Inference Attacks Using Transfer Shadow TrainingIEEE International Joint Conference on Neural Network (IJCNN), 2020 Seira Hidano Takao Murakami Yusuke Kawamoto MIACV 207 16 0 30 Nov 2020
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference AttacksIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2020 Mingfu Xue Chengxiang Yuan Can He Zhiyu Wu Yushu Zhang Yanfeng Guo Weiqiang Liu MIACV 106 14 0 27 Nov 2020
When Machine Learning Meets Privacy: A Survey and OutlookACM Computing Surveys (ACM CSUR), 2020 B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 240 318 0 24 Nov 2020
Synthetic Data -- Anonymisation Groundhog DayUSENIX Security Symposium (USENIX Security), 2020 Theresa Stadler Bristena Oprisanu Carmela Troncoso 494 194 0 13 Nov 2020
On the Privacy Risks of Algorithmic Fairness Hong Chang Reza Shokri FaML 450 127 0 07 Nov 2020
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries Seng Pei Liew Tsubasa Takahashi MIACV FedML 153 10 0 27 Oct 2020
Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity AnalysisUSENIX Security Symposium (USENIX Security), 2020 Xudong Pan Mi Zhang Yifan Yan Jiaming Zhu Zhemin Yang AAML 183 24 0 26 Oct 2020
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 210 64 0 22 Oct 2020
Feature Inference Attack on Model Predictions in Vertical Federated LearningIEEE International Conference on Data Engineering (ICDE), 2020 Xinjian Luo Yuncheng Wu Xiaokui Xiao Beng Chin Ooi FedML AAML 203 266 0 20 Oct 2020
Image Obfuscation for Privacy-Preserving Machine Learning Mathilde Raynal R. Achanta Mathias Humbert 181 14 0 20 Oct 2020
Security and Privacy Considerations for Machine Learning Models Deployed in the Government and Public Sector (white paper) Nader Sehatbakhsh E. Daw O. Savas Amin Hassanzadeh I. Mcculloh SILM 90 1 0 12 Oct 2020
Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks A. Salem Michael Backes Yang Zhang 101 37 0 07 Oct 2020
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep LearningACM Symposium on Applied Computing (SAC), 2020 Vasisht Duddu A. Boutet Virat Shejwalkar GNN 169 4 0 02 Oct 2020
Quantifying Privacy Leakage in Graph EmbeddingInternational Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous), 2020 Vasisht Duddu A. Boutet Virat Shejwalkar MIACV 187 145 0 02 Oct 2020
On Primes, Log-Loss Scores and (No) Privacy Abhinav Aggarwal Zekun Xu Oluwaseyi Feyisetan Nathanael Teissier MIACV 102 0 0 17 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 94 33 0 10 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated LearningNetwork and Distributed System Security Symposium (NDSS), 2020 Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 242 189 0 08 Sep 2020
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning Cen Chen Bingzhe Wu Minghui Qiu Li Wang Jun Zhou PILM 79 12 0 04 Sep 2020
Enclave-Aware Compartmentalization and Secure Sharing with Sirius Zahra Tarkhani Anil Madhavapeddy 132 2 0 03 Sep 2020
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries Shadi Rahimian Tribhuvanesh Orekondy Mario Fritz MIACV 83 36 0 01 Sep 2020
Against Membership Inference Attack: Pruning is All You NeedInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Yijue Wang Chenghong Wang Zigeng Wang Shangli Zhou Hang Liu J. Bi Caiwen Ding Sanguthevar Rajasekaran MIACV 210 52 0 28 Aug 2020
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning Benjamin Zi Hao Zhao M. Kâafar N. Kourtellis 112 33 0 20 Aug 2020
Data Minimization for GDPR Compliance in Machine Learning ModelsAI and Ethics (AE), 2020 Abigail Goldsteen Gilad Ezov Ron Shmelkin Micha Moffie Ariel Farkash 138 71 0 06 Aug 2020
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures Evgenios M. Kornaropoulos Silei Ren R. Tamassia AAML 133 23 0 01 Aug 2020
Membership Leakage in Label-Only ExposuresConference on Computer and Communications Security (CCS), 2020 Zheng Li Yang Zhang 220 289 0 30 Jul 2020
Label-Only Membership Inference AttacksInternational Conference on Machine Learning (ICML), 2020 Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 494 589 0 28 Jul 2020
Anonymizing Machine Learning Models Abigail Goldsteen Gilad Ezov Ron Shmelkin Micha Moffie Ariel Farkash MIACV 143 7 0 26 Jul 2020
How Does Data Augmentation Affect Privacy in Machine Learning? Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu MU 185 1 0 21 Jul 2020
A Survey of Privacy Attacks in Machine LearningACM Computing Surveys (ACM CSUR), 2020 M. Rigaki Sebastian Garcia PILM AAML 263 280 0 15 Jul 2020
Sharing Models or Coresets: A Study based on Membership Inference Attack Hanlin Lu Wei-Han Lee T. He Maroun Touma Kevin S. Chan MIACV FedML 145 18 0 06 Jul 2020