Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,056 papers shown

Title
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion Xiaoyu Wu Yang Hua Chumeng Liang Jiaru Zhang Hao Wang Tao Song Haibing Guan 45 5 0 17 Mar 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps Ruixuan Liu Tianhao Wang Yang Cao Li Xiong AAML SILM 56 15 0 14 Mar 2024
Model Will Tell: Training Membership Inference for Diffusion Models Xiaomeng Fu Xi Wang Qiao Li Jin Liu Jiao Dai Jizhong Han 52 5 0 13 Mar 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning Vinay Chakravarthi Gogineni E. Nadimi MU 31 1 0 12 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning Chongyu Fan Jiancheng Liu Alfred Hero Sijia Liu MU 40 29 0 12 Mar 2024
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models Linyi Li Shijie Geng Zhenwen Li Yibo He Hao Yu Ziyue Hua Guanghan Ning Siwei Wang Tao Xie Hongxia Yang ELM 37 2 0 11 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges Ghazaleh Shirvani Saeid Ghasemshirazi Behzad Beigzadeh FedML 67 3 0 10 Mar 2024
EdgeLeakage: Membership Information Leakage in Distributed Edge Intelligence Systems Kongyang Chen Yi Lin Hui Luo Bing Mi Yatie Xiao Chao Ma Jorge Sá Silva 19 3 0 08 Mar 2024
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey Biwei Yan Kun Li Minghui Xu Yueyan Dong Yue Zhang Zhaochun Ren Xiuzhen Cheng AILaw PILM 80 78 0 08 Mar 2024
Membership Inference Attacks and Privacy in Topic Modeling Nico Manzonelli Wanrong Zhang Salil P. Vadhan 37 1 0 07 Mar 2024
Membership Information Leakage in Federated Contrastive Learning Kongyang Chen Wenfeng Wang Zixin Wang Wangjun Zhang Zhipeng Li Yao Huang FedML 38 1 0 06 Mar 2024
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training Tanveer Khan Mindaugas Budzys Khoa Nguyen A. Michalas 48 3 0 06 Mar 2024
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks Ehsan Nowroozi Imran Haider R. Taheri Mauro Conti AAML 32 5 0 05 Mar 2024
Differentially Private Representation Learning via Image Captioning Tom Sander Yaodong Yu Maziar Sanjabi Alain Durmus Yi Ma Kamalika Chaudhuri Chuan Guo 73 3 0 04 Mar 2024
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks Sayedeh Leila Noorbakhsh Binghui Zhang Yuan Hong Binghui Wang AAML 27 8 0 04 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in diffusion models Marvin Li Sitan Chen DiffM 50 11 0 03 Mar 2024
Analysis of Privacy Leakage in Federated Large Language Models Minh Nhat Vu Truc D. T. Nguyen Tre' R. Jeter My T. Thai 45 6 0 02 Mar 2024
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy Jamie Hayes Ilia Shumailov Eleni Triantafillou Amr Khalifa Nicolas Papernot MU 48 28 0 02 Mar 2024
Teach LLMs to Phish: Stealing Private Information from Language Models Ashwinee Panda Christopher A. Choquette-Choo Zhengming Zhang Yaoqing Yang Prateek Mittal PILM 40 20 0 01 Mar 2024
Loss-Free Machine Unlearning Jack Foster Stefan Schoepf Alexandra Brintrup MU 40 3 0 29 Feb 2024
Trained Random Forests Completely Reveal your Dataset Julien Ferry Ricardo Fukasawa Timothée Pascal Thibaut Vidal AAML 32 6 0 29 Feb 2024
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI Domenique Zipperling Simeon Allmendinger Lukas Struppek Niklas Kühl 41 0 0 29 Feb 2024
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation Mayar Elfares Pascal Reisert Zhiming Hu Wenwu Tang Ralf Küsters Andreas Bulling FedML 26 4 0 29 Feb 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective Xinjian Luo Yangfan Jiang Fei Wei Yuncheng Wu Xiaokui Xiao Beng Chin Ooi DiffM 46 4 0 28 Feb 2024
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models Jeffrey G. Wang Jason Wang Marvin Li Seth Neel MIALM 66 0 0 26 Feb 2024
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey Chaoyu Zhang Shaoyu Li AILaw 66 3 0 25 Feb 2024
Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0 Fatemeh Baghdadi Davide Cirillo D. Lezzi Francesc Lordan Fernando Vazquez Eugenio Lomurno Alberto Archetti Danilo Ardagna Matteo Matteucci 46 1 0 23 Feb 2024
Machine Unlearning of Pre-trained Large Language Models Jin Yao Eli Chien Minxin Du Xinyao Niu Tianhao Wang Zezhou Cheng Xiang Yue MU 54 34 0 23 Feb 2024
Watermarking Makes Language Models Radioactive Tom Sander Pierre Fernandez Alain Durmus Matthijs Douze Teddy Furon WaLM 41 11 0 22 Feb 2024
Closed-Form Bounds for DP-SGD against Record-level Inference Giovanni Cherubin Boris Köpf Andrew Paverd Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin 48 2 0 22 Feb 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 42 14 0 21 Feb 2024
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records Navid Ashrafi Vera Schmitt R. Spang Sebastian Möller Jan-Niklas Voigt-Antons SyDa 31 7 0 21 Feb 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness David Fernández Llorca Ronan Hamon Henrik Junklewitz Kathrin Grosse Lars Kunze ... Nick Reed Alexandre Alahi Emilia Gómez Ignacio E. Sánchez Á. Kriston 53 5 0 21 Feb 2024
Revisiting Differentially Private Hyper-parameter Tuning Zihang Xiang Tianhao Wang Cheng-Long Wang Di Wang 34 6 0 20 Feb 2024
Prompt Stealing Attacks Against Large Language Models Zeyang Sha Yang Zhang SILM AAML 43 29 0 20 Feb 2024
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization Andrew Lowy Jonathan R. Ullman Stephen J. Wright 43 6 0 17 Feb 2024
Proving membership in LLM pretraining data via data watermarks Johnny Tian-Zheng Wei Ryan Yixiang Wang Robin Jia WaLM 32 22 0 16 Feb 2024
Recovering the Pre-Fine-Tuning Weights of Generative Models Eliahu Horwitz Jonathan Kahana Yedid Hoshen 50 10 0 15 Feb 2024
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service Yu Liu Zibo Wang Yifei Zhu Chen Chen FedML 25 3 0 15 Feb 2024
Auditing Private Prediction Karan Chadha Matthew Jagielski Nicolas Papernot Christopher A. Choquette-Choo Milad Nasr 35 4 0 14 Feb 2024
Copyright Traps for Large Language Models Matthieu Meeus Igor Shilov Manuel Faysse Yves-Alexandre de Montjoye 36 18 0 14 Feb 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization Idan Attias Gintare Karolina Dziugaite Mahdi Haghifam Roi Livni Daniel M. Roy 30 6 0 14 Feb 2024
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code Vahid Majdinasab Amin Nikanjam Foutse Khomh 41 8 0 14 Feb 2024
Is my Data in your AI Model? Membership Inference Test with Application to Face Images Daniel DeAlcala Aythami Morales Gonzalo Mancera Julian Fierrez Ruben Tolosana J. Ortega-Garcia CVBM 26 7 0 14 Feb 2024
Rethinking Machine Unlearning for Large Language Models Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo ... Hang Li Kush R. Varshney Mohit Bansal Sanmi Koyejo Yang Liu AILaw MU 82 84 0 13 Feb 2024
Do Membership Inference Attacks Work on Large Language Models? Michael Duan Anshuman Suri Niloofar Mireshghallah Sewon Min Weijia Shi Luke Zettlemoyer Yulia Tsvetkov Yejin Choi David Evans Hanna Hajishirzi MIALM 42 80 0 12 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye Wenhao Wang Jingyi Chai Dihan Li Zexi Li Yinda Xu Yaxin Du Yanfeng Wang Siheng Chen ALM FedML AIFin 11 79 0 10 Feb 2024
Discriminative Adversarial Unlearning Rohan Sharma Shijie Zhou Kaiyi Ji Changyou Chen MU 30 1 0 10 Feb 2024
The SkipSponge Attack: Sponge Weight Poisoning of Deep Neural Networks Jona te Lintelo Stefanos Koffas S. Picek AAML 21 1 0 09 Feb 2024
High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 18 1 0 09 Feb 2024