v1v2 (latest)

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

4 June 2018

Mario Fritz

Michael Backes

MIACV

MIALM

ArXiv (abs)PDF HTML

Papers citing "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"

50 / 519 papers shown

Title
Independent Distribution Regularization for Private Graph EmbeddingInternational Conference on Information and Knowledge Management (CIKM), 2023 Qie Hu Yangqiu Song 181 7 0 16 Aug 2023
White-box Membership Inference Attacks against Diffusion ModelsProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Yan Pang Tianhao Wang Xu Kang Mengdi Huai Yang Zhang AAML DiffM 239 36 0 11 Aug 2023
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning TrainingIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Hao Sun Tonghe Bai Jason Li Hongyang R. Zhang 207 38 0 30 Jul 2023
Recommendation Unlearning via Matrix Correction Jiahao Liu Dongsheng Li Hansu Gu Tun Lu Jiongran Wu Peng Zhang Li Shang Ning Gu MU 221 6 0 29 Jul 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute AttacksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Mingwen Shao Lingzhuang Meng Yuanjian Qiao Lixu Zhang W. Zuo DiffM 253 2 0 24 Jul 2023
Epsilon*: Privacy Metric for Machine Learning Models Diana M. Negoescu H. González Saad Eddin Al Orjany Jilei Yang Yuliia Lut ... Xinyi Zheng Zachariah Douglas Vidita Nolkha P. Ahammad G. Samorodnitsky 350 2 0 21 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 254 39 0 20 Jul 2023
Exposing the Fake: Effective Diffusion-Generated Images Detection Ruipeng Ma Jinhao Duan Fei Kong Xiaoshuang Shi Kaidi Xu DiffM 299 51 0 12 Jul 2023
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark Jun Niu Xiaoyan Zhu Moxuan Zeng Ge Zhang Qingyang Zhao ... Peng Liu Yulong Shen Xiaohong Jiang Jianfeng Ma Yuqing Zhang 151 6 0 12 Jul 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing PlatformAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Mateusz Wójcik Witold Ko'sciukiewicz Mateusz Baran Tomasz Kajdanowicz Adam Gonczarek CLL 175 2 0 11 Jul 2023
Scalable Membership Inference Attacks via Quantile RegressionNeural Information Processing Systems (NeurIPS), 2023 Martín Bertrán Shuai Tang Michael Kearns Jamie Morgenstern Aaron Roth Zhiwei Steven Wu MIACV 213 68 0 07 Jul 2023
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data Florent Guépin Matthieu Meeus Ana-Maria Cretu Yves-Alexandre de Montjoye 300 15 0 04 Jul 2023
Federated Generative Learning with Foundation Models Jie Zhang Xiaohua Qi Bo Zhao FedML 236 26 0 28 Jun 2023
Differentially Private Video Activity RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Zelun Luo Yuliang Zou Yijin Yang Zane Durante De-An Huang Zhiding Yu Chaowei Xiao L. Fei-Fei Anima Anandkumar PICV 216 6 0 27 Jun 2023
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models Adel M. Elmahdy A. Salem SILM 230 8 0 23 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and DefensesIEEE Communications Surveys and Tutorials (COMST), 2023 M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 321 90 0 17 Jun 2023
Achilles' Heels: Vulnerable Record Identification in Synthetic Data PublishingEuropean Symposium on Research in Computer Security (ESORICS), 2023 Matthieu Meeus Florent Guépin Ana-Maria Cretu Yves-Alexandre de Montjoye 385 29 0 17 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership PrivacyKnowledge Discovery and Data Mining (KDD), 2023 Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 189 20 0 14 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models Hailong Hu Jun Pang DiffM 267 5 0 08 Jun 2023
Investigating the Effect of Misalignment on Membership Privacy in the White-box SettingProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Ana-Maria Cretu Daniel Jones Yves-Alexandre de Montjoye Shruti Tople AAML 174 8 0 08 Jun 2023
Extracting Cloud-based Model with Prior Knowledge Songtao Zhao Kangjie Chen Meng Hao Jian Zhang Guowen Xu Hongwei Li Tianwei Zhang AAML MIACV SILM MLAU SLR 340 6 0 07 Jun 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 151 2 0 07 Jun 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review Mathias Lundteigen Mohus Jinyue Li AAML 185 2 0 01 Jun 2023
Watermarking Text Data on Large Language Models for Dataset Copyright Yixin Liu Hongsheng Hu Xun Chen Xuyun Zhang Lichao Sun WaLM 295 30 0 22 May 2023
Causality-Aided Trade-off Analysis for Machine Learning FairnessInternational Conference on Automated Software Engineering (ASE), 2023 Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 353 12 0 22 May 2023
Evaluating Privacy Leakage in Split Learning Xinchi Qiu Ilias Leontiadis Luca Melis Alex Sablayrolles Pierre Stock 240 7 0 22 May 2023
KGA: A General Machine Unlearning Framework Based on Knowledge Gap AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Lingzhi Wang Tong Chen Wei Yuan Xingshan Zeng Kam-Fai Wong Hongzhi Yin MU 186 95 0 11 May 2023
DPMLBench: Holistic Evaluation of Differentially Private Machine LearningConference on Computer and Communications Security (CCS), 2023 Chengkun Wei Ming-Hui Zhao Zhikun Zhang Min Chen Wenlong Meng Bodong Liu Yuan-shuo Fan Wenzhi Chen 333 16 0 10 May 2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation Jiyi Zhang Hansheng Fang Hwee Kuan Lee E. Chang 190 1 0 10 May 2023
Enhancing Cyber-Resiliency of DER-based SmartGrid: A SurveyIEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2023 Mengxiang Liu Fei Teng Zhenyong Zhang Pudong Ge Ruilong Deng Mingyang Sun Peng Cheng Jiming Chen 251 116 0 09 May 2023
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised LearningNeural Information Processing Systems (NeurIPS), 2023 Casey Meehan Florian Bordes Pascal Vincent Kamalika Chaudhuri Chuan Guo 208 21 0 26 Apr 2023
Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders Benedikt Groß Gerhard Wunder SyDa 187 6 0 22 Apr 2023
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking AttacksEuropean Symposium on Research in Computer Security (ESORICS), 2023 Yunlong Mao Zexi Xin Zhenyu Li Jue Hong Qingyou Yang Sheng Zhong MIACV AAML 153 14 0 19 Apr 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic PrivacyIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Zhenxiao Zhang Yuanxiong Guo Yuguang Fang Yanmin Gong 171 7 0 15 Apr 2023
When do you need Chain-of-Thought Prompting for ChatGPT? Jiuhai Chen Lichang Chen Heng Huang Wanrong Zhu LRM KELM ReLM ELM 167 52 0 06 Apr 2023
FACE-AUDITOR: Data Auditing in Facial Recognition SystemsUSENIX Security Symposium (USENIX Security), 2023 Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 184 22 0 05 Apr 2023
Can Membership Inferencing be Refuted? Zhifeng Kong A. Chowdhury Kamalika Chaudhuri MIALM MIACV 257 7 0 07 Mar 2023
Membership Inference Attack for Beluga Whales DiscriminationEcological Informatics (Ecol. Inform.), 2023 Voncarlos Marcelo Araújo Sébastien Gambs Clément Chion Robert Michaud L. Schneider H. Lautraite 146 2 0 28 Feb 2023
Active Membership Inference Attack under Local Differential Privacy in Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Truc D. T. Nguyen Phung Lai K. Tran Nhathai Phan My T. Thai FedML 189 30 0 24 Feb 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific PlotsUSENIX Security Symposium (USENIX Security), 2023 Boyang Zhang Xinlei He Yun Shen Tianhao Wang Yang Zhang AAML 255 4 0 23 Feb 2023
Prompt Stealing Attacks Against Text-to-Image Generation ModelsUSENIX Security Symposium (USENIX Security), 2023 Xinyue Shen Y. Qu Michael Backes Yang Zhang 163 54 0 20 Feb 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMImedRxiv (medRxiv), 2023 Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 203 24 0 20 Feb 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent HealthcarebioRxiv (bioRxiv), 2023 Juexiao Zhou Haoyang Li Xingyu Liao Bin Zhang Wenjia He Zhongxiao Li Longxi Zhou Xin Gao MU 160 19 0 20 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy Derui Zhu Dingfan Chen Jens Grossklags Mario Fritz DiffM 175 15 0 15 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 289 26 0 14 Feb 2023
Bag of Tricks for Training Data Extraction from Language ModelsInternational Conference on Machine Learning (ICML), 2023 Weichen Yu Tianyu Pang Qian Liu Chao Du Bingyi Kang Yan Huang Min Lin Shuicheng Yan 229 71 0 09 Feb 2023
Membership Inference Attacks against Diffusion Models Tomoya Matsumoto Takayuki Miura Naoto Yanai DiffM 244 82 0 07 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable ModelsProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 222 6 0 04 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks?International Conference on Machine Learning (ICML), 2023 Jinhao Duan Fei Kong Shiqi Wang Xiaoshuang Shi Kaidi Xu 186 153 0 02 Feb 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2023 Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 401 65 0 27 Jan 2023