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
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 26 13 0 21 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 48 0 21 Feb 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 32 32 0 20 Feb 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 28 124 0 20 Feb 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network Xiaojian Yuan Kejiang Chen Jie Zhang Weiming Zhang Neng H. Yu Yangyi Zhang 34 34 0 20 Feb 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare Juexiao Zhou Haoyang Li Xingyu Liao Bin Zhang Wenjia He Zhongxiao Li Longxi Zhou Xin Gao MU 43 13 0 20 Feb 2023
Digital Privacy Under Attack: Challenges and Enablers Baobao Song Mengyue Deng Shiva Raj Pokhrel Qiujun Lan R. Doss Gang Li AAML 41 3 0 18 Feb 2023
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning Charlie Hou Hongyuan Zhan Akshat Shrivastava Sida I. Wang S. Livshits Giulia Fanti Daniel Lazar FedML 37 15 0 17 Feb 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data Pratik Karmakar D. Basu MIACV 25 6 0 16 Feb 2023
Multi-Task Differential Privacy Under Distribution Skew Walid Krichene Prateek Jain Shuang Song Mukund Sundararajan Abhradeep Thakurta Li Zhang FedML 43 3 0 15 Feb 2023
Tight Auditing of Differentially Private Machine Learning Milad Nasr Jamie Hayes Thomas Steinke Borja Balle Florian Tramèr Matthew Jagielski Nicholas Carlini Andreas Terzis FedML 40 52 0 15 Feb 2023
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility William Paul P. Mathew F. Alajaji Philippe Burlina 16 2 0 15 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy Derui Zhu Dingfan Chen Jens Grossklags Mario Fritz DiffM 27 14 0 15 Feb 2023
Bounding Training Data Reconstruction in DP-SGD Jamie Hayes Saeed Mahloujifar Borja Balle AAML FedML 40 39 0 14 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 48 23 0 14 Feb 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 36 42 0 13 Feb 2023
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations Mimee Xu Jiankai Sun Xin Yang K. Yao Chong-Jun Wang MU CML CLL 22 11 0 13 Feb 2023
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records Bingyue Su Yu Wang Daniele E. Schiavazzi Fang Liu 28 2 0 11 Feb 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 28 21 0 09 Feb 2023
Bag of Tricks for Training Data Extraction from Language Models Weichen Yu Tianyu Pang Qian Liu Chao Du Bingyi Kang Yan Huang Min Lin Shuicheng Yan 29 49 0 09 Feb 2023
Machine Learning for Synthetic Data Generation: A Review Ying-Cheng Lu Minjie Shen Huazheng Wang Xiao Wang Capucine Van Rechem Tianfan Fu Wenqi Wei SyDa 49 140 0 08 Feb 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning Tomoya Murata Taiji Suzuki 35 9 0 08 Feb 2023
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection Haobo Zhang Junyuan Hong Fan Dong Steve Drew Liangjie Xue Jiayu Zhou FedML 45 17 0 07 Feb 2023
Membership Inference Attacks against Diffusion Models Tomoya Matsumoto Takayuki Miura Naoto Yanai DiffM 30 54 0 07 Feb 2023
One-shot Empirical Privacy Estimation for Federated Learning Galen Andrew Peter Kairouz Sewoong Oh Alina Oprea H. B. McMahan Vinith Suriyakumar FedML 37 32 0 06 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 26 7 0 06 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 25 2 0 04 Feb 2023
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus DD 52 5 0 02 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks? Jinhao Duan Fei Kong Shiqi Wang Xiaoshuang Shi Kaidi Xu 35 109 0 02 Feb 2023
On the Efficacy of Differentially Private Few-shot Image Classification Marlon Tobaben Aliaksandra Shysheya J. Bronskill Andrew Paverd Shruti Tople Santiago Zanella Béguelin Richard Turner Antti Honkela 46 11 0 02 Feb 2023
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds Anastasia Borovykh N. Kantas P. Parpas G. Pavliotis 19 1 0 01 Feb 2023
Analyzing Leakage of Personally Identifiable Information in Language Models Nils Lukas A. Salem Robert Sim Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin PILM 29 214 0 01 Feb 2023
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 73 572 0 30 Jan 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min Lin FedML 41 10 0 28 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 49 36 0 27 Jan 2023
When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA Jessica Zhao Sayan Ghosh Akash Bharadwaj Chih-Yao Ma FedML 30 6 0 24 Jan 2023
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data Meenatchi Sundaram Muthu Selva Annamalai Andrea Gadotti Luc Rocher MIACV 29 21 0 24 Jan 2023
Membership Inference of Diffusion Models Hailong Hu Jun Pang 32 37 0 24 Jan 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 37 18 0 22 Jan 2023
New Challenges for Content Privacy in Speech and Audio Jennifer Williams Karla Pizzi Shuvayanti Das Paul-Gauthier Noé 33 11 0 21 Jan 2023
Synthcity: facilitating innovative use cases of synthetic data in different data modalities Zhaozhi Qian B. Cebere M. Schaar SyDa 43 57 0 18 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 29 4 0 18 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 60 121 0 17 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 29 1 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 54 88 0 13 Jan 2023
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML 25 20 0 09 Jan 2023
Introducing Model Inversion Attacks on Automatic Speaker Recognition Karla Pizzi Franziska Boenisch U. Sahin Konstantin Böttinger 35 3 0 09 Jan 2023
Single-round Self-supervised Distributed Learning using Vision Transformer Sangjoon Park Ik-jae Lee Jun Won Kim Jong Chul Ye FedML MedIm 33 1 0 05 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 47 28 0 03 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics Yahao Ding Zhaohui Yang Viet Quoc Pham Zhaoyang Zhang M. Shikh-Bahaei 36 32 0 03 Jan 2023