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"

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Title
Subject Membership Inference Attacks in Federated Learning Anshuman Suri Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson 30 25 0 07 Jun 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 19 26 0 03 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 39 149 0 01 Jun 2022
A Blessing of Dimensionality in Membership Inference through Regularization Jasper Tan Daniel LeJeune Blake Mason Hamid Javadi Richard G. Baraniuk 32 18 0 27 May 2022
Membership Inference Attack Using Self Influence Functions Gilad Cohen Raja Giryes TDI 30 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 126 97 0 26 May 2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning Yunhao Yang Parham Gohari Ufuk Topcu 18 1 0 25 May 2022
Unintended memorisation of unique features in neural networks J. Hartley Sotirios A. Tsaftaris 30 1 0 20 May 2022
Collaborative Drug Discovery: Inference-level Data Protection Perspective Balázs Pejó Mina Remeli Adam Arany M. Galtier G. Ács 25 3 0 13 May 2022
l-Leaks: Membership Inference Attacks with Logits Shuhao Li Yajie Wang Yuan-zhang Li Yu-an Tan MIACV MIALM 14 2 0 13 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 17 12 0 11 May 2022
Secure & Private Federated Neuroimaging Dimitris Stripelis Umang Gupta Hamza Saleem Nikhil J. Dhinagar Tanmay Ghai ... Greg Ver Steeg Srivatsan Ravi Muhammad Naveed Paul M. Thompson J. Ambite FedML OOD 19 2 0 11 May 2022
Cracking White-box DNN Watermarks via Invariant Neuron Transforms Yifan Yan Xudong Pan Yining Wang Mi Zhang Min Yang AAML 19 14 0 30 Apr 2022
A Differentially Private Framework for Deep Learning with Convexified Loss Functions Zhigang Lu Hassan Jameel Asghar M. Kâafar Darren Webb Peter Dickinson 57 15 0 03 Apr 2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning Georg Pichler Marco Romanelli L. Rey Vega Pablo Piantanida FedML 28 10 0 30 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage Ganesh Del Grosso Hamid Jalalzai Georg Pichler C. Palamidessi Pablo Piantanida MIACV 29 21 0 17 Mar 2022
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy Dayong Ye Sheng Shen Tianqing Zhu B. Liu Wanlei Zhou MIACV 16 61 0 13 Mar 2022
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It Dayong Ye Huiqiang Chen Shuai Zhou Tianqing Zhu Wanlei Zhou S. Ji MIACV 20 6 0 13 Mar 2022
Label-only Model Inversion Attack: The Attack that Requires the Least Information Dayong Ye Tianqing Zhu Shuai Zhou B. Liu Wanlei Zhou 22 4 0 13 Mar 2022
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation Saeed Ranjbar Alvar Lanjun Wang Jiangbo Pei Yong Zhang VLM 16 2 0 10 Mar 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri MIALM 32 151 0 08 Mar 2022
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes C. Li Andrea Cavallaro PICV 14 0 0 05 Mar 2022
User-Level Membership Inference Attack against Metric Embedding Learning Guoyao Li Shahbaz Rezaei Xin Liu 18 23 0 04 Mar 2022
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members Ismat Jarin Birhanu Eshete 26 9 0 02 Mar 2022
Bounding Membership Inference Anvith Thudi Ilia Shumailov Franziska Boenisch Nicolas Papernot 27 18 0 24 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 17 37 0 21 Feb 2022
Measuring Unintended Memorisation of Unique Private Features in Neural Networks J. Hartley Sotirios A. Tsaftaris 19 7 0 16 Feb 2022
Defending against Reconstruction Attacks with Rényi Differential Privacy Pierre Stock I. Shilov Ilya Mironov Alexandre Sablayrolles AAML SILM MIACV 12 39 0 15 Feb 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release Donghao Li Yang Cao Yuan Yao 35 2 0 14 Feb 2022
What Does it Mean for a Language Model to Preserve Privacy? Hannah Brown Katherine Lee Fatemehsadat Mireshghallah Reza Shokri Florian Tramèr PILM 29 232 0 11 Feb 2022
Privacy-preserving Generative Framework Against Membership Inference Attacks Ruikang Yang Jianfeng Ma Yinbin Miao Xindi Ma 19 5 0 11 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning Chunyi Zhou Yansong Gao Anmin Fu Kai Chen Zhiyang Dai Zhi-Li Zhang Minhui Xue Yuqing Zhang AAML 25 21 0 10 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 19 22 0 07 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning Xiaoyong Yuan Lan Zhang AAML 16 44 0 07 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 17 2 0 07 Feb 2022
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks Jan Aalmoes Vasisht Duddu A. Boutet 21 10 0 04 Feb 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference Jasper Tan Blake Mason Hamid Javadi Richard G. Baraniuk FedML 37 19 0 02 Feb 2022
Bounding Training Data Reconstruction in Private (Deep) Learning Chuan Guo Brian Karrer Kamalika Chaudhuri L. V. D. van der Maaten 115 53 0 28 Jan 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 18 52 0 27 Jan 2022
Federated Unlearning with Knowledge Distillation Chen Wu Sencun Zhu P. Mitra MU 10 107 0 24 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Zeyang Sha Xinlei He Ning Yu Michael Backes Yang Zhang 25 34 0 19 Jan 2022
Zero-Shot Machine Unlearning Vikram S Chundawat Ayush K Tarun Murari Mandal Mohan S. Kankanhalli MU 19 120 0 14 Jan 2022
Reconstructing Training Data with Informed Adversaries Borja Balle Giovanni Cherubin Jamie Hayes MIACV AAML 43 158 0 13 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 34 21 0 12 Jan 2022
Gradient Leakage Attack Resilient Deep Learning Wenqi Wei Ling Liu SILM PILM AAML 27 46 0 25 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 31 9 0 19 Dec 2021
Correlation inference attacks against machine learning models Ana-Maria Creţu Florent Guépin Yves-Alexandre de Montjoye MIACV AAML 38 5 0 16 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 19 60 0 15 Dec 2021
SoK: Anti-Facial Recognition Technology Emily Wenger Shawn Shan Haitao Zheng Ben Y. Zhao PICV 32 13 0 08 Dec 2021