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
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification Zirui Gong Liyue Shen Yanjun Zhang Leo Yu Zhang Jingwei Wang Guangdong Bai Yong Xiang AAML 41 6 0 13 Nov 2023
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 32 6 0 12 Nov 2023
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent Lauren Watson Eric Gan Mohan Dantam Baharan Mirzasoleiman Rik Sarkar 31 1 0 12 Nov 2023
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models Shahriar Golchin Mihai Surdeanu 31 24 0 10 Nov 2023
Federated Experiment Design under Distributed Differential Privacy Wei-Ning Chen Graham Cormode Akash Bharadwaj Peter Romov Ayfer Özgür FedML 39 2 0 07 Nov 2023
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models Haoran Li Dadi Guo Donghao Li Wei Fan Qi Hu Xin Liu Chunkit Chan Duanyi Yao Yuan Yao Yangqiu Song PILM 42 24 0 07 Nov 2023
Preserving Privacy in GANs Against Membership Inference Attack Mohammadhadi Shateri Francisco Messina Fabrice Labeau Pablo Piantanida 30 4 0 06 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 34 1 0 06 Nov 2023
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems Dasol Choi Dongbin Na CVBM MU 29 16 0 03 Nov 2023
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach Yuke Hu Jian Lou Jiaqi Liu Wangze Ni Feng Lin Zhan Qin Kui Ren MU 40 12 0 03 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training Jiacheng Li Ninghui Li Bruno Ribeiro 34 2 0 02 Nov 2023
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks Jiayuan Ye Zhenyu Zhu Fanghui Liu Reza Shokri V. Cevher 42 12 0 31 Oct 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 43 46 0 31 Oct 2023
Verification of Neural Networks Local Differential Classification Privacy Roie Reshef Anan Kabaha Olga Seleznova Dana Drachsler-Cohen AAML 42 2 0 31 Oct 2023
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models Minxing Zhang Ning Yu Rui Wen Michael Backes Yang Zhang DiffM 18 18 0 30 Oct 2023
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection S. Kadhe Heiko Ludwig Nathalie Baracaldo Alan King Yi Zhou ... Ryo Kawahara Nir Drucker Hayim Shaul Eyal Kushnir Omri Soceanu FedML 33 3 0 30 Oct 2023
Flow-based Distributionally Robust Optimization Chen Xu Jonghyeok Lee Xiuyuan Cheng Yao Xie OOD 41 4 0 30 Oct 2023
Exploring Federated Unlearning: Review, Comparison, and Insights Yang Zhao Jiaxi Yang Yiling Tao Lixu Wang Xiaoxiao Li Dusit Niyato H. Vincent Poor FedML MU 56 0 0 30 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 35 0 0 29 Oct 2023
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation Kunlin Cai Jinghuai Zhang Zhiqing Hong Will Shand Guang Wang Desheng Zhang Jianfeng Chi Yuan Tian 26 1 0 28 Oct 2023
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning Zheyuan Liu Guangyao Dou Yijun Tian Chunhui Zhang Eli Chien Ziwei Zhu MU 28 16 0 28 Oct 2023
BlackJack: Secure machine learning on IoT devices through hardware-based shuffling Karthik Ganesan Michal Fishkin Ourong Lin Natalie Enright Jerger 32 4 0 26 Oct 2023
Proving Test Set Contamination in Black Box Language Models Yonatan Oren Nicole Meister Niladri Chatterji Faisal Ladhak Tatsunori B. Hashimoto HILM 32 133 0 26 Oct 2023
Detecting Pretraining Data from Large Language Models Weijia Shi Anirudh Ajith Mengzhou Xia Yangsibo Huang Daogao Liu Terra Blevins Danqi Chen Luke Zettlemoyer MIALM 33 166 0 25 Oct 2023
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David Evans Shruti Tople Robert West KELM LLMAG 29 21 0 24 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 49 10 0 24 Oct 2023
Quantum Federated Learning With Quantum Networks Tyler Wang Huan-Hsin Tseng Shinjae Yoo 34 6 0 23 Oct 2023
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models Matthieu Meeus Shubham Jain Marek Rei Yves-Alexandre de Montjoye MIALM 34 29 0 23 Oct 2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning Ngoc Duy Pham K. Phan Naveen Chilamkurti 31 3 0 22 Oct 2023
MoPe: Model Perturbation-based Privacy Attacks on Language Models Marvin Li Jason Wang Jeffrey G. Wang Seth Neel AAML 35 18 0 22 Oct 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks Ruixiang Tang Gord Lueck Rodolfo Quispe Huseyin A. Inan Janardhan Kulkarni Xia Hu 34 6 0 20 Oct 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 52 2 0 20 Oct 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 45 4 0 19 Oct 2023
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework Imdad Ullah Najm Hassan S. Gill Basem Suleiman T. Ahanger Zawar Shah Junaid Qadir S. Kanhere 45 16 0 19 Oct 2023
Black-Box Training Data Identification in GANs via Detector Networks Lukman Olagoke Salil P. Vadhan Seth Neel 31 0 0 18 Oct 2023
Quantifying Privacy Risks of Prompts in Visual Prompt Learning Yixin Wu Rui Wen Michael Backes Pascal Berrang Mathias Humbert Yun Shen Yang Zhang AAML VPVLM 32 8 0 18 Oct 2023
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning Rui Wen Tianhao Wang Michael Backes Yang Zhang Ahmed Salem AAML 27 10 0 17 Oct 2023
Passive Inference Attacks on Split Learning via Adversarial Regularization Xiaochen Zhu Xinjian Luo Yuncheng Wu Yangfan Jiang Xiaokui Xiao Beng Chin Ooi FedML 32 9 0 16 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 56 2 0 16 Oct 2023
DPZero: Private Fine-Tuning of Language Models without Backpropagation Liang Zhang Bingcong Li K. K. Thekumparampil Sewoong Oh Niao He 33 11 0 14 Oct 2023
Large Language Model Unlearning Yuanshun Yao Xiaojun Xu Yang Liu MU 43 112 0 14 Oct 2023
User Inference Attacks on Large Language Models Nikhil Kandpal Krishna Pillutla Alina Oprea Peter Kairouz Christopher A. Choquette-Choo Zheng Xu SILM AAML 46 15 0 13 Oct 2023
When Machine Learning Models Leak: An Exploration of Synthetic Training Data Manel Slokom Peter-Paul de Wolf Martha Larson MIACV 43 1 0 12 Oct 2023
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Shaswata Mitra Ivan A. Fernandez Swayamjit Saha Sudip Mittal Jingdao Chen Nisha Pillai Shahram Rahimi 29 12 0 12 Oct 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 33 2 0 12 Oct 2023
Why Train More? Effective and Efficient Membership Inference via Memorization Jihye Choi Shruti Tople Varun Chandrasekaran Somesh Jha TDI FedML 26 2 0 12 Oct 2023
In-Context Unlearning: Language Models as Few Shot Unlearners Martin Pawelczyk Seth Neel Himabindu Lakkaraju MU 30 105 0 11 Oct 2023
Histopathological Image Classification and Vulnerability Analysis using Federated Learning Sankalp Vyas Amar Nath Patra R. Shukla 33 3 0 11 Oct 2023
Improved Membership Inference Attacks Against Language Classification Models Shlomit Shachor N. Razinkov Abigail Goldsteen 39 5 0 11 Oct 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML Ziqi Zhang Chen Gong Yifeng Cai Yuanyuan Yuan Bingyan Liu Ding Li Yao Guo Xiangqun Chen FedML 37 16 0 11 Oct 2023