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
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models Yang Bai Ge Pei Jindong Gu Yong Yang Xingjun Ma 33 10 0 09 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 45 4 0 07 May 2024
ModelShield: Adaptive and Robust Watermark against Model Extraction Attack Kaiyi Pang Tao Qi Chuhan Wu Minhao Bai Minghu Jiang Yongfeng Huang AAML WaLM 72 2 0 03 May 2024
A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges Xianzhi Zhang Yipeng Zhou Di Wu Shazia Riaz Quan Z. Sheng Miao Hu Linchang Xiao 24 2 0 03 May 2024
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features Francisco Teixeira Karla Pizzi R. Olivier A. Abad Bhiksha Raj Isabel Trancoso AAML 45 2 0 02 May 2024
Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning Ali Reza Ghavamipour Benjamin Zi Hao Zhao Fatih Turkmen OOD 20 0 0 27 Apr 2024
Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang Jung-Eun Kim 44 2 0 26 Apr 2024
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data Vikhyat Agrawal Sunil Vasu Kalmady Venkataseetharam Manoj Malipeddi Manisimha Manthena Weijie Sun Saiful Islam Abram Hindle Padma Kaul Russell Greiner FedML 27 5 0 26 Apr 2024
Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy Sehyun Ryu Jonggyu Jang H. Yang 28 1 0 24 Apr 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression Avi Schwarzschild Zhili Feng Pratyush Maini Zachary Chase Lipton J. Zico Kolter 47 42 0 23 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 80 7 0 23 Apr 2024
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach Yao Wan Guanghua Wan Shijie Zhang Hongyu Zhang Yulei Sui Pan Zhou Hai Jin Lichao Sun 35 2 0 22 Apr 2024
Machine Unlearning via Null Space Calibration Huiqiang Chen Tianqing Zhu Xin Yu Wanlei Zhou 41 6 0 21 Apr 2024
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models Yefeng Yuan Yuhong Liu Liang Cheng SyDa ELM 31 2 0 20 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images Jacopo Bonato Marco Cotogni Luigi Sabetta MU CLL 42 4 0 19 Apr 2024
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law Benjamin Frész Elena Dubovitskaya Danilo Brajovic Marco F. Huber Christian Horz 57 7 0 19 Apr 2024
PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy Zepeng Jiang Weiwei Ni Yifan Zhang PICV 21 1 0 19 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 51 1 0 19 Apr 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents Chen Gong Kecen Li Jin Yao Tianhao Wang OnRL 36 0 0 18 Apr 2024
Guided Discrete Diffusion for Electronic Health Record Generation Jun Han Zixiang Chen Yongqian Li Yiwen Kou Eran Halperin Robert E. Tillman Quanquan Gu MedIm DiffM 41 6 0 18 Apr 2024
Sampling-based Pseudo-Likelihood for Membership Inference Attacks Masahiro Kaneko Youmi Ma Yuki Wata Naoaki Okazaki 35 9 0 17 Apr 2024
Personalized Heart Disease Detection via ECG Digital Twin Generation Yaojun Hu Jintai Chen Lianting Hu Dantong Li Jiahuan Yan Haochao Ying Huiying Liang Jian Wu 33 4 0 17 Apr 2024
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes Sayan Biswas Mathieu Even Anne-Marie Kermarrec Laurent Massoulie Rafael Pires Rishi Sharma M. Vos 48 3 0 15 Apr 2024
The Impact of Speech Anonymization on Pathology and Its Limits Soroosh Tayebi Arasteh T. Arias-Vergara Paula Andrea Pérez-Toro Tobias Weise Kai Packhaeuser Maria Schuster E. Noeth Andreas Maier Seung Hee Yang 43 3 0 11 Apr 2024
Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks Kavita Kumari Murtuza Jadliwala S. Jha Anindya Maiti 44 2 0 10 Apr 2024
pfl-research: simulation framework for accelerating research in Private Federated Learning Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 39 6 0 09 Apr 2024
Advances in Differential Privacy and Differentially Private Machine Learning Saswat Das Subhankar Mishra 35 4 0 06 Apr 2024
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks Qiushi Li Yan Zhang Ju Ren Qi Li Yaoxue Zhang AAML PICV 41 23 0 05 Apr 2024
Knowledge Distillation-Based Model Extraction Attack using Private Counterfactual Explanations Fatima Ezzeddine Omran Ayoub Silvia Giordano AAML MIACV 45 0 0 04 Apr 2024
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off Stephen Meisenbacher Nihildev Nandakumar Alexandra Klymenko Florian Matthes 34 8 0 04 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 35 19 0 04 Apr 2024
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models Jingyang Zhang Jingwei Sun Eric C. Yeats Ouyang Yang Martin Kuo Jianyi Zhang Hao Frank Yang Hai "Helen" Li 43 43 0 03 Apr 2024
Noise Masking Attacks and Defenses for Pretrained Speech Models Matthew Jagielski Om Thakkar Lun Wang AAML 37 5 0 02 Apr 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models Yuxin Wen Leo Marchyok Sanghyun Hong Jonas Geiping Tom Goldstein Nicholas Carlini SILM AAML 39 9 0 01 Apr 2024
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey Yi Xu AILaw MU 40 3 0 01 Apr 2024
Privacy Re-identification Attacks on Tabular GANs Abdallah Alshantti Adil Rasheed Frank Westad AAML 29 3 0 31 Mar 2024
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models Shao Shen Chenhao Zhang Yawen Zhao Alina Bialkowski Tony Weitong Chen Miao Xu MU 55 13 0 31 Mar 2024
Efficient Data-Free Model Stealing with Label Diversity Yiyong Liu Rui Wen Michael Backes Yang Zhang AAML 49 2 0 29 Mar 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning Joshua C. Zhao Ahaan Dabholkar Atul Sharma Saurabh Bagchi FedML 41 2 0 26 Mar 2024
Enhancing Privacy in Federated Learning through Local Training Nicola Bastianello Changxin Liu Karl H. Johansson 46 2 0 26 Mar 2024
A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish Masahiro Kaneko Timothy Baldwin PILM 34 3 0 24 Mar 2024
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization Khiem Le-Huy Long Ho Cuong D. Do Danh Le-Phuoc Kok-Seng Wong OOD FedML 45 3 0 22 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 43 4 0 21 Mar 2024
$$\nabla τ$: Gradient-based and Task-Agnostic machine Unlearning$ $\nabla τ$ : Gradient-based and Task-Agnostic machine Unlearning Daniel Trippa Cesare Campagnano Maria Sofia Bucarelli Gabriele Tolomei Fabrizio Silvestri MU BDL 27 3 0 21 Mar 2024
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process Vitaliy Pozdnyakov Aleksandr Kovalenko Ilya Makarov Mikhail Drobyshevskiy Kirill Lukyanov AAML 37 5 0 20 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
Dated Data: Tracing Knowledge Cutoffs in Large Language Models Jeffrey Cheng Marc Marone Orion Weller Dawn J Lawrie Daniel Khashabi Benjamin Van Durme 67 13 0 19 Mar 2024
Large language models in 6G security: challenges and opportunities Tri Nguyen Huong Nguyen Ahmad Ijaz Saeid Sheikhi Athanasios V. Vasilakos Panos Kostakos ELM 28 8 0 18 Mar 2024
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists Timothée Ly Julien Ferry Marie-José Huguet Sébastien Gambs Ulrich Aïvodji 27 0 0 18 Mar 2024
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption Xuanqi Liu Zhuotao Liu Qi Li Ke Xu Mingwei Xu 32 7 0 17 Mar 2024