FedMIA: An Effective Membership Inference Attack Exploiting “All for One” Principle in Federated Learning Authors: Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han | Published: 2024-02-09 | Updated: 2025-03-27 PoisoningMembership InferenceFederated Learning 2024.02.09 2025.05.27 Literature Database
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning Authors: Marlon Tobaben, Hibiki Ito, Joonas Jälkö, Yuan He, Antti Honkela | Published: 2024-02-07 | Updated: 2025-10-06 Privacy-Preserving Machine LearningMembership InferenceStatistical Testing 2024.02.07 2025.10.08 Literature Database
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks Authors: Hamed Poursiami, Ihsen Alouani, Maryam Parsa | Published: 2024-02-01 | Updated: 2024-05-07 WatermarkingPrivacy ProtectionMembership Inference 2024.02.01 2025.05.27 Literature Database
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Authors: Ying Song, Balaji Palanisamy | Published: 2024-01-23 | Updated: 2025-01-26 WatermarkingBiasMembership Inference 2024.01.23 2025.05.27 Literature Database
Text Embedding Inversion Security for Multilingual Language Models Authors: Yiyi Chen, Heather Lent, Johannes Bjerva | Published: 2024-01-22 | Updated: 2024-06-05 WatermarkingMembership InferenceModel Performance Evaluation 2024.01.22 2025.05.27 Literature Database
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Authors: Chao Liu, Boxi Chen, Wei Shao, Chris Zhang, Kelvin Wong, Yi Zhang | Published: 2024-01-22 | Updated: 2024-01-27 Backdoor AttackPrivacy Protection MethodMembership Inference 2024.01.22 2025.05.27 Literature Database
SODA: Protecting Proprietary Information in On-Device Machine Learning Models Authors: Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant Shenoy | Published: 2023-12-22 WatermarkingPrivacy Protection MethodMembership Inference 2023.12.22 2025.05.27 Literature Database
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Authors: Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan | Published: 2023-12-13 Graph Neural NetworkData Privacy AssessmentMembership Inference 2023.12.13 2025.05.28 Literature Database
Low-Cost High-Power Membership Inference Attacks Authors: Sajjad Zarifzadeh, Philippe Liu, Reza Shokri | Published: 2023-12-06 | Updated: 2024-06-12 Membership InferenceLow-Cost Membership Inference MethodAttack Method 2023.12.06 2025.05.28 Literature Database
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning Authors: Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty | Published: 2023-11-28 Privacy Protection MethodMembership InferenceFederated Learning 2023.11.28 2025.05.28 Literature Database