Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,051 papers shown

Title
On Model Protection in Federated Learning against Eavesdropping Attacks Dipankar Maity Kushal Chakrabarti FedML 70 0 0 02 Apr 2025
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models Alireza Aghabagherloo Aydin Abadi Sumanta Sarkar Vishnu Asutosh Dasu Bart Preneel AAML 57 0 0 01 Apr 2025
TAMIS: Tailored Membership Inference Attacks on Synthetic Data Paul Andrey B. L. Bars Marc Tommasi 45 0 0 01 Apr 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution Lina Wang Yunsheng Yuan Chunxiao Wang Feng Li FedML 43 0 0 31 Mar 2025
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks Yu Zhou Dian Zheng Qijie Mo Renjie Lu Kun-Yu Lin Wei-Shi Zheng MU 68 0 0 31 Mar 2025
A Survey on Unlearnable Data Jiahao Li Yiqiang Chen Yunbing Xing Yang Gu Xiangyuan Lan AAML 58 0 0 30 Mar 2025
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation Chengkun Wei Weixian Li Chen Gong Wenzhi Chen 58 0 0 29 Mar 2025
How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks M. Prabhakaran S. Nicolazzo Antonino Nocera Vinod Puthuvath AAML MU 96 0 0 26 Mar 2025
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead Viktor Schlegel Anil A Bharath Zilong Zhao Kevin Yee 68 0 0 26 Mar 2025
The Data Sharing Paradox of Synthetic Data in Healthcare Jim Achterberg Bram van Dijk Saif ul Islam Hafiz Muhammad Waseem Parisis Gallos Gregory Epiphaniou Carsten Maple Marcel Haas M. Spruit 56 0 0 26 Mar 2025
Membership Inference Attacks on Large-Scale Models: A Survey Hengyu Wu Yang Cao MIALM 69 0 0 25 Mar 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Christoforos N. Spartalis T. Semertzidis Efstratios Gavves P. Daras MU 86 0 0 24 Mar 2025
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks Jiazhu Dai Yubing Lu 54 0 0 24 Mar 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning Ziang Li Hongguang Zhang Juan Wang Meihui Chen Hongxin Hu Wenzhe Yi Xiaoyang Xu Mengda Yang Chenjun Ma 62 0 0 20 Mar 2025
Learning on LLM Output Signatures for gray-box LLM Behavior Analysis Guy Bar-Shalom Fabrizio Frasca Derek Lim Yoav Gelberg Yftah Ziser Ran El-Yaniv Gal Chechik Haggai Maron 67 0 0 18 Mar 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels Yujia Tong Yuze Wang Jingling Yuan Chuang Hu NoLa 71 0 0 18 Mar 2025
FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values Yunbo Li Jiaping Gui Yue Wu FedML 66 1 0 17 Mar 2025
Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis Xiaoyu Wu Yifei Pang Terrance Liu Steven Wu 60 2 0 15 Mar 2025
$(\varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees Juan Felipe Gomez B. Kulynych G. Kaissis Jamie Hayes Borja Balle Antti Honkela 56 0 0 13 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 53 0 0 13 Mar 2025
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity D. López Nuria Rodríguez Barroso M. V. Luzón Francisco Herrera 63 0 0 12 Mar 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 109 1 0 12 Mar 2025
All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs Zhaohan Xi 63 0 0 12 Mar 2025
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis Ziyu Wang Elahe Khatibi Kianoosh Kazemi Iman Azimi Sanaz R. Mousavi Shaista Malik Amir M. Rahmani 42 0 0 11 Mar 2025
How Well Can Differential Privacy Be Audited in One Run? Amit Keinan Moshe Shenfeld Katrina Ligett 63 0 0 10 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 60 1 0 10 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 48 0 0 10 Mar 2025
Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs Gonzalo Mancera Daniel DeAlcala Julian Fierrez Ruben Tolosana Aythami Morales 48 1 0 10 Mar 2025
Privacy Auditing of Large Language Models Ashwinee Panda Xinyu Tang Milad Nasr Christopher A. Choquette-Choo Prateek Mittal PILM 62 5 0 09 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 53 0 0 08 Mar 2025
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge Xinyue Cui Johnny Tian-Zheng Wei Swabha Swayamdipta Robin Jia WaLM 91 1 0 06 Mar 2025
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning H. B. Meftah W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 48 0 0 06 Mar 2025
Privacy and Accuracy-Aware AI/ML Model Deduplication Hong Guan Lei Yu Lixi Zhou Li Xiong Kanchan Chowdhury Lulu Xie Xusheng Xiao Jia Zou 46 0 0 04 Mar 2025
Privacy-Preserving Fair Synthetic Tabular Data Fatima Jahan Sarmin Atiquer R. Rahman Christopher J. Henry Noman Mohammed 50 0 0 04 Mar 2025
Video-DPRP: A Differentially Private Approach for Visual Privacy-Preserving Video Human Activity Recognition Allassan Tchangmena A Nken Susan Mckeever Peter Corcoran Ihsan Ullah PICV 50 0 0 03 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 0 0 02 Mar 2025
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training Toan Tran Ruixuan Liu Li Xiong MU 46 0 0 27 Feb 2025
Evaluating Membership Inference Attacks in heterogeneous-data setups Bram van Dartel Marc Damie Florian Hahn MIACV MIALM 219 0 0 26 Feb 2025
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk Tianyu Zhao Mahmoud Srewa Salma Elmalaki 95 1 0 25 Feb 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels Ayana Moshruba Shay Snyder Hamed Poursiami Maryam Parsa AAML 71 2 0 25 Feb 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 67 0 0 24 Feb 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Matthieu Meeus Lukas Wutschitz Santiago Zanella Béguelin Shruti Tople Reza Shokri 80 0 0 24 Feb 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training Jaydeep Borkar Matthew Jagielski Katherine Lee Niloofar Mireshghallah David A. Smith Christopher A. Choquette-Choo PILM 83 1 0 24 Feb 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang Niki van Stein Thomas Bäck M. Leeuwen DiffM 47 0 0 24 Feb 2025
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification Anan Kabaha Dana Drachsler-Cohen AAML 48 0 0 23 Feb 2025
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Kaixiang Zhao Lincan Li Kaize Ding Neil Zhenqiang Gong Yue Zhao Yushun Dong AAML 52 0 0 22 Feb 2025
Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment Ruyi Ding Tianhong Xu A. A. Ding Yunsi Fei FedML 41 0 0 20 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy? Yunpeng Zhao Jie Zhang 82 0 0 18 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 49 1 0 18 Feb 2025
Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective Yiwen Tu Pingbang Hu Jiaqi W. Ma MU 69 0 0 17 Feb 2025