Privacy-Preserving Machine Learning

What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data

Authors: J. E. M. Scanlon, A. Pelzer, M. Gharleghi, K. C. Fuhrmeister, T. Köllmer, P. Aichroth, R. Göder, C. Hansen, K. I. Wolf | Published: 2025-10-06
Privacy-Preserving Machine Learning
Signal Processing
医療診断属性
2025.10.06 2025.10.08
Literature Database

Federated Computation of ROC and PR Curves

Authors: Xuefeng Xu, Graham Cormode | Published: 2025-10-06
Trade-off Analysis
Privacy-Preserving Machine Learning
Approximation Error of Negative Inputs
2025.10.06 2025.10.08
Literature Database

Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents

Authors: Zhiping Zhang, Yi Evie Zhang, Freda Shi, Tianshi Li | Published: 2025-10-06
Indirect Prompt Injection
Privacy-Preserving Machine Learning
User Activity Analysis
2025.10.06 2025.10.08
Literature Database

Position: Privacy Is Not Just Memorization!

Authors: Niloofar Mireshghallah, Tianshi Li | Published: 2025-10-02
Indirect Prompt Injection
Privacy-Preserving Machine Learning
Privacy Classification
2025.10.02 2025.10.04
Literature Database

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 Learning
Adversarial Learning
Interpretability
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 Efficiency
Privacy-Preserving Machine Learning
Model 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 Learning
Privacy 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 Generation
Privacy-Preserving Machine Learning
Membership 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 Assessment
Privacy-Preserving Machine Learning
Malicious 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 Learning
Membership Inference
Statistical Testing
2024.02.07 2025.10.08
Literature Database
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