Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,058 papers shown

Title
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning Sagar Sharma Yuechun Gu Keke Chen 39 0 0 31 Dec 2022
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 38 77 0 29 Dec 2022
GAN-based Domain Inference Attack Yuechun Gu Keke Chen 17 11 0 22 Dec 2022
Over-the-Air Federated Learning with Enhanced Privacy Xiaochan Xue Moh. Khalid Hasan Shucheng Yu Laxima Niure Kandel Min Song 34 2 0 22 Dec 2022
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David Evans Boris Köpf Andrew Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 52 35 0 21 Dec 2022
Learned Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 29 2 0 20 Dec 2022
Rate-Privacy-Storage Tradeoff in Federated Learning with Top $r$ Sparsification Sajani Vithana S. Ulukus FedML 31 5 0 19 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks Zeyang Sha Xinlei He Pascal Berrang Mathias Humbert Yang Zhang AAML 18 34 0 18 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 48 31 0 18 Dec 2022
Planting and Mitigating Memorized Content in Predictive-Text Language Models C.M. Downey Wei Dai Huseyin A. Inan Kim Laine Saurabh Naik Tomasz Religa PILM 17 2 0 16 Dec 2022
BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced Enterprise Data Sharing L. Nguyen James Hoang Qin Wang Qinghua Lu Sherry Xu Shiping Chen FedML 29 4 0 16 Dec 2022
Membership Inference Attacks Against Latent Factor Model Dazhi Hu AAML 30 1 0 15 Dec 2022
Holistic risk assessment of inference attacks in machine learning Yang Yang SILM AAML MIACV 33 2 0 15 Dec 2022
Deep leakage from gradients Yaqiong Mu FedML 14 0 0 15 Dec 2022
White-box Inference Attacks against Centralized Machine Learning and Federated Learning Jing Ge FedML 19 0 0 15 Dec 2022
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks Chamara Sandeepa Bartlomiej Siniarski N. Kourtellis Shen Wang Madhusanka Liyanage 38 5 0 14 Dec 2022
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining Florian Tramèr Gautam Kamath Nicholas Carlini SILM 54 67 0 13 Dec 2022
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative Using Differential Privacy Yulong Wang Xingshu Chen Qixu Wang FedML 32 3 0 13 Dec 2022
Privacy-Preserving Collaborative Learning through Feature Extraction A. Sarmadi Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami FedML 32 6 0 13 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Christian Scano Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 49 4 0 12 Dec 2022
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy Ergute Bao Yizheng Zhu X. Xiao Yifan Yang Beng Chin Ooi B. Tan Khin Mi Mi Aung FedML 31 19 0 08 Dec 2022
Vicious Classifiers: Data Reconstruction Attack at Inference Time Mohammad Malekzadeh Deniz Gunduz AAML MIACV 21 0 0 08 Dec 2022
DDoD: Dual Denial of Decision Attacks on Human-AI Teams Benjamin Tag N. V. Berkel Sunny Verma Benjamin Zi Hao Zhao S. Berkovsky Dali Kaafar V. Kostakos O. Ohrimenko AAML 25 5 0 07 Dec 2022
Memorization of Named Entities in Fine-tuned BERT Models Andor Diera N. Lell Aygul Garifullina A. Scherp 17 0 0 07 Dec 2022
Bringing the Algorithms to the Data -- Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC) Marius Herr Michael Graf Peter Placzek Florian König Felix Bötte ... C. Mohr Stephanie Biergans Mete Akgün Nícolas Pfeifer O. Kohlbacher OOD 19 6 0 07 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 28 6 0 06 Dec 2022
On the Discredibility of Membership Inference Attacks Shahbaz Rezaei Xin Liu 36 2 0 06 Dec 2022
Encrypted machine learning of molecular quantum properties J. Weinreich Guido Falk von Rudorff O. Anatole von Lilienfeld 54 2 0 05 Dec 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian Kun Kuang Ke Jiang Furui Liu Zhihua Wang Fei Wu 40 7 0 04 Dec 2022
A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification Kaifa Zhao Le Yu Shiyao Zhou Jing Li Xiapu Luo Yat Fei Aemon Chiu Yutong Liu AILaw 28 10 0 04 Dec 2022
LDL: A Defense for Label-Based Membership Inference Attacks Arezoo Rajabi D. Sahabandu Luyao Niu Bhaskar Ramasubramanian Radha Poovendran AAML 33 3 0 03 Dec 2022
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy H. Kikuchi 37 2 0 03 Dec 2022
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping Jiyan He Xuechen Li Da Yu Huishuai Zhang Janardhan Kulkarni Y. Lee A. Backurs Nenghai Yu Jiang Bian 41 46 0 03 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models Tomás Chobola Dmitrii Usynin Georgios Kaissis MIACV 37 6 0 02 Dec 2022
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores Ziqi Yang Li-Juan Wang D. Yang Jie Wan Ziming Zhao E. Chang Fan Zhang Kui Ren AAML 29 15 0 01 Dec 2022
Similarity Distribution based Membership Inference Attack on Person Re-identification Junyao Gao Xinyang Jiang Huishuai Zhang Yifan Yang Shuguang Dou Dongsheng Li Duoqian Miao Cheng Deng Cairong Zhao 36 7 0 29 Nov 2022
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise Jie Fu Zhili Chen Xiao Han FedML 32 28 0 29 Nov 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 49 29 0 27 Nov 2022
Data Origin Inference in Machine Learning Mingxue Xu Xiang-Yang Li 33 3 0 24 Nov 2022
Differentially Private Image Classification from Features Harsh Mehta Walid Krichene Abhradeep Thakurta Alexey Kurakin Ashok Cutkosky 67 7 0 24 Nov 2022
A Brief Overview of AI Governance for Responsible Machine Learning Systems Navdeep Gill Abhishek Mathur Marcos V. Conde 29 5 0 21 Nov 2022
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version) Lucas Lange Maja Schneider Peter Christen Erhard Rahm 32 7 0 21 Nov 2022
Learning to Generate Image Embeddings with User-level Differential Privacy Zheng Xu Maxwell D. Collins Yuxiao Wang Liviu Panait Sewoong Oh S. Augenstein Ting Liu Florian Schroff H. B. McMahan FedML 40 30 0 20 Nov 2022
A Survey on Differential Privacy with Machine Learning and Future Outlook Samah Baraheem Z. Yao SyDa 27 1 0 19 Nov 2022
Comprehension from Chaos: Towards Informed Consent for Private Computation Bailey Kacsmar Vasisht Duddu Kyle Tilbury Blase Ur Florian Kerschbaum 40 3 0 13 Nov 2022
Provable Membership Inference Privacy Zachary Izzo Jinsung Yoon Sercan O. Arik James Zou 49 5 0 12 Nov 2022
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data F. Houssiau James Jordon Samuel N. Cohen Owen Daniel Andrew Elliott James Geddes C. Mole Camila Rangel Smith Lukasz Szpruch 41 45 0 12 Nov 2022
On the Privacy Risks of Algorithmic Recourse Martin Pawelczyk Himabindu Lakkaraju Seth Neel 32 31 0 10 Nov 2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems Ana-Maria Cretu F. Houssiau Antoine Cully Yves-Alexandre de Montjoye AAML 23 10 0 09 Nov 2022
Directional Privacy for Deep Learning Pedro Faustini Natasha Fernandes Shakila Mahjabin Tonni Annabelle McIver Mark Dras 19 1 0 09 Nov 2022