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
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs Yue Niu Ramy E. Ali Salman Avestimehr FedML 61 17 0 04 Oct 2021
Dirichlet Mechanism for Differentially Private KL Divergence Minimization Donlapark Ponnoprat 16 0 0 03 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 278 0 28 Sep 2021
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 32 166 0 27 Sep 2021
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers A. Boutet Thomas LeBrun Jan Aalmoes Adrien Baud FedML 62 17 0 26 Sep 2021
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 45 163 0 25 Sep 2021
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection Arthur Drichel Benedikt Holmes Justus von Brandt Ulrike Meyer 102 7 0 24 Sep 2021
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data Georgi Ganev Bristena Oprisanu Emiliano De Cristofaro 46 56 0 23 Sep 2021
InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline Emily M. Bender Timnit Gebru Eric Wallace 63 10 0 21 Sep 2021
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning Md Tamjid Hossain Shafkat Islam S. Badsha Haoting Shen AAML 57 41 0 21 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 43 16 0 20 Sep 2021
Decentralized Wireless Federated Learning with Differential Privacy Shuzhen Chen Dongxiao Yu Yifei Zou Jiguo Yu Xiuzhen Cheng 48 50 0 19 Sep 2021
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 48 52 0 17 Sep 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 28 69 0 17 Sep 2021
Membership Inference Attacks Against Recommender Systems Minxing Zhang Zhaochun Ren Zihan Wang Pengjie Ren Zhumin Chen Pengfei Hu Yang Zhang MIACV AAML 26 83 0 16 Sep 2021
A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems Moein Sabounchi Jin Wei-Kocsis AAML 30 1 0 13 Sep 2021
Formalizing and Estimating Distribution Inference Risks Anshuman Suri David Evans MIACV 47 51 0 13 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 32 79 0 13 Sep 2021
Utility Fairness for the Differentially Private Federated Learning S. Alvi Yi Hong S. Durrani FedML 16 8 0 11 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 246 0 09 Sep 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning Maziar Gomrokchi Susan Amin Hossein Aboutalebi Alexander Wong Doina Precup MIACV AAML 47 3 0 08 Sep 2021
EMA: Auditing Data Removal from Trained Models Yangsibo Huang Xiaoxiao Li Kai Li 18 14 0 08 Sep 2021
Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques Ashly Lau Jonathan Passerat-Palmbach 27 1 0 06 Sep 2021
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning Zhifeng Jiang Wen Wang Yang Liu FedML 37 49 0 02 Sep 2021
Privacy-preserving Machine Learning for Medical Image Classification Shreyansh Singh K. Shukla 16 5 0 29 Aug 2021
Power-Based Attacks on Spatial DNN Accelerators Ge Li Mohit Tiwari Michael Orshansky 38 8 0 28 Aug 2021
Machine Unlearning of Features and Labels Alexander Warnecke Lukas Pirch Christian Wressnegger Konrad Rieck MU 8 176 0 26 Aug 2021
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning Hongbin Liu Jinyuan Jia Wenjie Qu Neil Zhenqiang Gong 6 94 0 25 Aug 2021
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? M. Lennon Nathan G. Drenkow Philippe Burlina AAML 19 8 0 16 Aug 2021
On the Importance of Encrypting Deep Features Xingyang Ni H. Huttunen Esa Rahtu MIACV 28 0 0 16 Aug 2021
A Novel Attribute Reconstruction Attack in Federated Learning Lingjuan Lyu Cen Chen AAML 22 38 0 16 Aug 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 99 0 10 Aug 2021
Membership Inference Attacks on Lottery Ticket Networks Aadesh Bagmar Shishira R. Maiya Shruti Bidwalka Amol Deshpande MIACV 63 5 0 07 Aug 2021
Fairness Properties of Face Recognition and Obfuscation Systems Harrison Rosenberg Brian Tang Kassem Fawaz S. Jha PICV 16 14 0 05 Aug 2021
Training face verification models from generated face identity data Dennis Conway Loïc Simon Alexis Lechervy F. Jurie CVBM 27 0 0 02 Aug 2021
Who's Afraid of Thomas Bayes? Erick Galinkin AAML 28 0 0 30 Jul 2021
Adaptation and Generalization for Unknown Sensitive Factors of Variations William Paul Philippe Burlina AAML 33 0 0 28 Jul 2021
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing Aoting Hu Renjie Xie Zhigang Lu A. Hu Minhui Xue MIACV 26 15 0 28 Jul 2021
Generative adversarial networks in time series: A survey and taxonomy Eoin Brophy Zhengwei Wang Qi She Tomas E. Ward EGVM AI4TS 27 57 0 23 Jul 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Yi Shi Y. Sagduyu 26 16 0 22 Jul 2021
Designing a Location Trace Anonymization Contest Takao Murakami Hiromi Arai Koki Hamada Takuma Hatano M. Iguchi ... Hidenobu Oguri Chiemi Watanabe A. Yamada Takayasu Yamaguchi Yuji Yamaoka 32 2 0 22 Jul 2021
Domain Adaptation without Model Transferring Kunhong Wu Yucheng Shi Yahong Han Yunfeng Shao Bingshuai Li Qi Tian OOD 24 0 0 21 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 25 4 0 21 Jul 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates Steve Chien Prateek Jain Walid Krichene Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 25 19 0 20 Jul 2021
Communication and Computation Reduction for Split Learning using Asynchronous Training Xing Chen Jingtao Li C. Chakrabarti 18 28 0 20 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 43 21 0 20 Jul 2021
TEM: High Utility Metric Differential Privacy on Text Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 42 37 0 16 Jul 2021
BRR: Preserving Privacy of Text Data Efficiently on Device Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 22 7 0 16 Jul 2021
An Efficient DP-SGD Mechanism for Large Scale NLP Models Christophe Dupuy Radhika Arava Rahul Gupta Anna Rumshisky SyDa 26 35 0 14 Jul 2021
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 242 599 0 14 Jul 2021