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
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 31 5 0 11 Jun 2022
Bayesian Estimation of Differential Privacy Santiago Zanella Béguelin Lukas Wutschitz Shruti Tople A. Salem Victor Rühle Andrew Paverd Mohammad Naseri Boris Köpf Daniel Jones 32 36 0 10 Jun 2022
Membership Inference via Backdooring Hongsheng Hu Z. Salcic Gillian Dobbie Jinjun Chen Lichao Sun Xuyun Zhang MIACV 36 29 0 10 Jun 2022
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning Alberto Blanco-Justicia David Sánchez J. Domingo-Ferrer K. Muralidhar 11 59 0 09 Jun 2022
Privacy Leakage in Text Classification: A Data Extraction Approach Adel M. Elmahdy Huseyin A. Inan Robert Sim 27 13 0 09 Jun 2022
How unfair is private learning ? Amartya Sanyal Yaxian Hu Fanny Yang FaML FedML 38 22 0 08 Jun 2022
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Qian Chen Zilong Wang Jiawei Chen Haonan Yan Xiaodong Lin FedML 10 17 0 08 Jun 2022
Subject Membership Inference Attacks in Federated Learning Anshuman Suri Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson 30 25 0 07 Jun 2022
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent Da Yu Gautam Kamath Janardhan Kulkarni Tie-Yan Liu Jian Yin Huishuai Zhang 41 18 0 06 Jun 2022
Towards Practical Differential Privacy in Data Analysis: Understanding the Effect of Epsilon on Utility in Private ERM Yuzhe Li Yong Liu Yue Liu Weiping Wang Nannan Liu 21 9 0 06 Jun 2022
Differentially Private Model Compression Fatemehsadat Mireshghallah A. Backurs Huseyin A. Inan Lukas Wutschitz Janardhan Kulkarni SyDa 24 13 0 03 Jun 2022
Kallima: A Clean-label Framework for Textual Backdoor Attacks Xiaoyi Chen Yinpeng Dong Zeyu Sun Shengfang Zhai Qingni Shen Zhonghai Wu AAML 14 30 0 03 Jun 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 24 26 0 03 Jun 2022
Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline Junjian Li Honglong Chen AAML 19 2 0 02 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 58 153 0 01 Jun 2022
Differentially Private Shapley Values for Data Evaluation Lauren Watson R. Andreeva Hao Yang Rik Sarkar TDI FAtt FedML 23 6 0 01 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo Zhao Lingjuan Lyu DD 37 114 0 01 Jun 2022
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks Parisa Hassanzadeh R. E. Tillman 29 1 0 31 May 2022
Private Federated Submodel Learning with Sparsification Sajani Vithana S. Ulukus FedML 39 10 0 31 May 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 35 17 0 31 May 2022
FedAUXfdp: Differentially Private One-Shot Federated Distillation Haley Hoech R. Rischke Karsten Müller Wojciech Samek FedML 24 4 0 30 May 2022
White-box Membership Attack Against Machine Learning Based Retinopathy Classification Mounia Hamidouche Reda Bellafqira G. Quellec Gouenou Coatrieux 6 1 0 30 May 2022
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review Fahad Al-homayani Mohammad H. Mahoor 38 64 0 30 May 2022
A Blessing of Dimensionality in Membership Inference through Regularization Jasper Tan Daniel LeJeune Blake Mason Hamid Javadi Richard G. Baraniuk 40 18 0 27 May 2022
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence Carles Domingo-Enrich Youssef Mroueh 27 5 0 27 May 2022
Can Foundation Models Help Us Achieve Perfect Secrecy? Simran Arora Christopher Ré FedML 29 6 0 27 May 2022
Membership Inference Attack Using Self Influence Functions Gilad Cohen Raja Giryes TDI 32 12 0 26 May 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 139 98 0 26 May 2022
MALICE: Manipulation Attacks on Learned Image ComprEssion Kang Liu Di Wu Yi-Ren Wang Dan Feng Benjamin Tan S. Garg AAML 26 1 0 26 May 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 75 46 0 25 May 2022
Memorization in NLP Fine-tuning Methods Fatemehsadat Mireshghallah Archit Uniyal Tianhao Wang David Evans Taylor Berg-Kirkpatrick AAML 70 39 0 25 May 2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning Yunhao Yang Parham Gohari Ufuk Topcu 31 1 0 25 May 2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin Tianming Zheng Ming Liu Deepak Puthal P. Yi Yue Wu Xiangjian He 18 15 0 24 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 0 24 May 2022
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders Kaidi Wang Bo Zhao Xiangyu Peng Zheng Hua Zhu Jiankang Deng Xinchao Wang Hakan Bilen Yang You PICV 72 11 0 23 May 2022
Unintended memorisation of unique features in neural networks J. Hartley Sotirios A. Tsaftaris 38 1 0 20 May 2022
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning Harsh Chaudhari Matthew Jagielski Alina Oprea 43 7 0 20 May 2022
Lessons Learned: Defending Against Property Inference Attacks Joshua Stock Jens Wettlaufer Daniel Demmler Hannes Federrath AAML 41 1 0 18 May 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning Dario Pasquini Mathilde Raynal Carmela Troncoso OOD FedML 48 19 0 17 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Yangqiu Song Jian Pei 47 104 0 16 May 2022
Evaluating Membership Inference Through Adversarial Robustness Zhaoxi Zhang L. Zhang Xufei Zheng Bilal Hussain Abbasi Shengshan Hu AAML 64 15 0 14 May 2022
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning Wenxuan Bao L. A. Bauer Vincent Bindschaedler OOD 34 4 0 13 May 2022
Collaborative Drug Discovery: Inference-level Data Protection Perspective Balázs Pejó Mina Remeli Adam Arany M. Galtier G. Ács 35 3 0 13 May 2022
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations Yongjie Wang Hangwei Qian Chunyan Miao AAML 24 31 0 13 May 2022
l-Leaks: Membership Inference Attacks with Logits Shuhao Li Yajie Wang Yuan-zhang Li Yu-an Tan MIACV MIALM 33 2 0 13 May 2022
How to Combine Membership-Inference Attacks on Multiple Updated Models Matthew Jagielski Stanley Wu Alina Oprea Jonathan R. Ullman Roxana Geambasu 34 10 0 12 May 2022
Fair NLP Models with Differentially Private Text Encoders Gaurav Maheshwari Pascal Denis Mikaela Keller A. Bellet FedML SILM 36 15 0 12 May 2022
Secure Aggregation for Federated Learning in Flower Kwing Hei Li Pedro Porto Buarque de Gusmão Daniel J. Beutel Nicholas D. Lane FedML 37 36 0 12 May 2022
Blockchain-based Secure Client Selection in Federated Learning Truc D. T. Nguyen Phuc Thai Tre' R. Jeter Thang N. Dinh My T. Thai 33 12 0 11 May 2022
Secure & Private Federated Neuroimaging Dimitris Stripelis Umang Gupta Hamza Saleem Nikhil J. Dhinagar Tanmay Ghai ... Greg Ver Steeg Yu Yang Muhammad Naveed Paul M. Thompson J. Ambite FedML OOD 35 2 0 11 May 2022