Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,052 papers shown

Title
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 45 2 0 09 Jul 2024
It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss Meenatchi Sundaram Muthu Selva Annamalai 47 8 0 09 Jul 2024
Synthetic Data: Revisiting the Privacy-Utility Trade-off Fatima Jahan Sarmin Atiquer Rahman Sarkar Yang Wang Noman Mohammed 32 3 0 09 Jul 2024
MUSE: Machine Unlearning Six-Way Evaluation for Language Models Weijia Shi Jaechan Lee Yangsibo Huang Sadhika Malladi Jieyu Zhao Ari Holtzman Daogao Liu Luke Zettlemoyer Noah A. Smith Chiyuan Zhang MU ELM 45 46 0 08 Jul 2024
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment Qizhang Feng Siva Rajesh Kasa Santhosh Kumar Kasa Hyokun Yun C. Teo S. Bodapati 92 6 0 08 Jul 2024
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning Binhao Ma Tianhang Zheng Hongsheng Hu Di Wang Shuo Wang Zhongjie Ba Zhan Qin Kui Ren AAML 33 3 0 06 Jul 2024
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs Cheng Wang Xinyang Lu Szu Hui Ng Bryan Kian Hsiang Low 48 0 0 06 Jul 2024
Identifying the Source of Generation for Large Language Models Bumjin Park Jaesik Choi 34 0 0 05 Jul 2024
Membership Inference Attacks Against Time-Series Models Noam Koren Abigail Goldsteen Ariel Farkash Guy Amit 42 0 0 03 Jul 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature Deepak Ravikumar Efstathia Soufleri Kaushik Roy 37 0 0 03 Jul 2024
Attack-Aware Noise Calibration for Differential Privacy B. Kulynych Juan Felipe Gomez G. Kaissis Flavio du Pin Calmon Carmela Troncoso 57 6 0 02 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 75 1 0 02 Jul 2024
Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability Chenxi Li Abhinav Kumar Zhen Guo Jie Hou R. Tourani AAML MIACV 29 2 0 01 Jul 2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning Nexhi Sula Abhinav Kumar Jie Hou Han Wang R. Tourani MU 25 0 0 01 Jul 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging Kiarash Sedghighadikolaei Attila A Yavuz 39 1 0 29 Jun 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Qiongkai Xu Mark Dras SILM AAML 52 0 0 28 Jun 2024
Dataset Size Recovery from LoRA Weights Mohammad Salama Jonathan Kahana Eliahu Horwitz Yedid Hoshen 42 5 0 27 Jun 2024
LongLaMP: A Benchmark for Personalized Long-form Text Generation Ishita Kumar Snigdha Viswanathan Sushrita Yerra Alireza Salemi Ryan A. Rossi ... Xiang Chen Ruiyi Zhang Shubham Agarwal Nedim Lipka Hamed Zamani 49 23 0 27 Jun 2024
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics Ivan A. Fernandez Subash Neupane Trisha Chakraborty Shaswata Mitra Sudip Mittal Nisha Pillai Jingdao Chen Shahram Rahimi 52 1 0 27 Jun 2024
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models Huixuan Zhang Yun Lin Xiaojun Wan 50 0 0 26 Jun 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 62 8 0 25 Jun 2024
Noisy Neighbors: Efficient membership inference attacks against LLMs Filippo Galli Luca Melis Tommaso Cucinotta 54 7 0 24 Jun 2024
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios Tao Huang Ziyang Chen Jiayang Meng Qingyu Huang Xu Yang Xun Yi Ibrahim Khalil MU 45 0 0 24 Jun 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods Roy Xie Junlin Wang Ruomin Huang Minxing Zhang Rong Ge Jian Pei Neil Zhenqiang Gong Bhuwan Dhingra MIALM 63 13 0 23 Jun 2024
Blind Baselines Beat Membership Inference Attacks for Foundation Models Debeshee Das Jie Zhang Florian Tramèr MIALM 85 28 1 23 Jun 2024
Privacy Implications of Explainable AI in Data-Driven Systems Fatima Ezzeddine 29 3 0 22 Jun 2024
Fingerprint Membership and Identity Inference Against Generative Adversarial Networks Saverio Cavasin Daniele Mari Simone Milani Mauro Conti AAML 31 3 0 21 Jun 2024
Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation Chunyuan Deng Yilun Zhao Yuzhao Heng Yitong Li Jiannan Cao Xiangru Tang Arman Cohan 35 13 0 20 Jun 2024
Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Frontier AI Models Sunny Duan Mikail Khona Abhiram Iyer Rylan Schaeffer Ila R Fiete 65 3 0 20 Jun 2024
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 43 2 0 20 Jun 2024
CollaFuse: Collaborative Diffusion Models Simeon Allmendinger Domenique Zipperling Lukas Struppek Niklas Kühl 28 2 0 20 Jun 2024
AspirinSum: an Aspect-based utility-preserved de-identification Summarization framework Ya-Lun Li 47 0 0 20 Jun 2024
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models Joshua Ward Chi-Hua Wang Guang Cheng 46 3 0 18 Jun 2024
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu FedML MU 35 5 0 18 Jun 2024
Soft Prompting for Unlearning in Large Language Models Karuna Bhaila Minh-Hao Van Xintao Wu MU KELM 38 4 0 17 Jun 2024
Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri Xiao Zhang David E. Evans MIACV MIALM AAML 56 1 0 17 Jun 2024
Current state of LLM Risks and AI Guardrails Suriya Ganesh Ayyamperumal Limin Ge 59 22 0 16 Jun 2024
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Wei Zhao MU 35 1 0 16 Jun 2024
Don't Forget Too Much: Towards Machine Unlearning on Feature Level Heng Xu Tianqing Zhu Wanlei Zhou Wei Zhao MU 39 4 0 16 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 34 1 0 16 Jun 2024
Semantic Membership Inference Attack against Large Language Models Hamid Mozaffari Virendra J. Marathe MIALM 53 3 0 14 Jun 2024
Privacy-preserving Quantification of Non-IID Degree in Federated Learning Yuping Yan Yizhi Wang Yingchao Yu Yaochu Jin FedML 36 0 0 14 Jun 2024
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Vasileios Tsouvalas Samaneh Mohammadi Ali Balador T. Ozcelebi Francesco Flammini N. Meratnia FedML 38 0 0 13 Jun 2024
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition Eleni Triantafillou Peter Kairouz Fabian Pedregosa Jamie Hayes M. Kurmanji ... Lisheng Sun-Hosoya Sergio Escalera Gintare Karolina Dziugaite Peter Triantafillou Isabelle M Guyon MU 56 14 0 13 Jun 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space Tomer Ashuach Martin Tutek Yonatan Belinkov KELM MU 71 4 0 13 Jun 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks Peizhi Niu Chao Pan Siheng Chen Olgica Milenkovic AAML 35 0 0 12 Jun 2024
Ablation Based Counterfactuals Zheng Dai David K Gifford 26 0 0 12 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 40 2 0 11 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 49 2 0 11 Jun 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 48 1 0 11 Jun 2024