SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards Authors: João Vitorino, Eva Maia, Isabel Praça, Carlos Soares | Published: 2025-09-30 Privacy-Preserving Machine LearningAdversarial LearningInterpretability 2025.09.30 2025.10.02 Literature Database
Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs Authors: Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler | Published: 2025-09-23 Cost EfficiencyPrivacy-Preserving Machine LearningModel Extraction Attack 2025.09.23 2025.09.25 Literature Database
Rethinking Exact Unlearning under Exposure: Extracting Forgotten Data under Exact Unlearning in Large Language Model Authors: Xiaoyu Wu, Yifei Pang, Terrance Liu, Zhiwei Steven Wu | Published: 2025-05-30 | Updated: 2025-10-06 Privacy-Preserving Machine LearningPrivacy Loss Analysis倫理基準遵守 2025.05.30 2025.10.08 Literature Database
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility Authors: Elisabeth Griesbauer, Claudia Czado, Arnoldo Frigessi, Ingrid Hobæk Haff | Published: 2025-03-20 Data GenerationPrivacy-Preserving Machine LearningMembership Inference 2025.03.20 2025.05.27 Literature Database
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm Authors: Yuxin Jin, Taotao Wang, Qing Yang, Long Shi, Shengli Zhang | Published: 2025-03-18 | Updated: 2025-03-24 Client Contribution AssessmentPrivacy-Preserving Machine LearningMalicious Client 2025.03.18 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
MOBIUS: Model-Oblivious Binarized Neural Networks Authors: Hiromasa Kitai, Jason Paul Cruz, Naoto Yanai, Naohisa Nishida, Tatsumi Oba, Yuji Unagami, Tadanori Teruya, Nuttapong Attrapadung, Takahiro Matsuda, Goichiro Hanaoka | Published: 2018-11-29 Trigger DetectionPrivacy-Preserving Machine LearningDifferential Privacy 2018.11.29 2025.05.28 Literature Database
VirtualIdentity: Privacy-Preserving User Profiling Authors: Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock | Published: 2018-08-30 Privacy-Preserving Machine LearningFeature EngineeringSecret Distributed Computation 2018.08.30 2025.05.28 Literature Database
Efficient Deep Learning on Multi-Source Private Data Authors: Nick Hynes, Raymond Cheng, Dawn Song | Published: 2018-07-17 Privacy-Preserving Machine LearningDifferential PrivacyDeep Learning 2018.07.17 2025.05.28 Literature Database
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Authors: Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang, Bernt Schiele, Mario Fritz | Published: 2018-05-15 | Updated: 2020-09-13 Privacy-Preserving Machine LearningPoisoningUser Behavior Analysis 2018.05.15 2025.05.28 Literature Database