Private and Robust Contribution Evaluation in Federated Learning
Authors: Delio Jaramillo Velez, Gergely Biczok, Alexandre Graell i Amat, Johan Ostman, Balazs Pejo | Published: 2026-02-25
Privacy Assessment
Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI
Authors: Al Amin, Kamrul Hasan, Liang Hong, Sharif Ullah | Published: 2025-11-26
Can LLMs Make (Personalized) Access Control Decisions?
Authors: Friederike Groschupp, Daniele Lain, Aritra Dhar, Lara Magdalena Lazier, Srdjan Čapkun | Published: 2025-11-25
Confusion is the Final Barrier: Rethinking Jailbreak Evaluation and Investigating the Real Misuse Threat of LLMs
Authors: Yu Yan, Sheng Sun, Zhe Wang, Yijun Lin, Zenghao Duan, zhifei zheng, Min Liu, Zhiyi yin, Jianping Zhang | Published: 2025-08-22 | Updated: 2025-09-15
SoK: Data Minimization in Machine Learning
Authors: Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski | Published: 2025-08-14
Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems via Knowledge Asymmetry Exploitation
Authors: Yufei Chen, Yao Wang, Haibin Zhang, Tao Gu | Published: 2025-07-31
Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Authors: Mayar Elfares, Pascal Reisert, Ralf Küsters, Andreas Bulling | Published: 2025-07-01 | Updated: 2025-09-10
Verifying Differentially Private Median Estimation
Authors: Hyukjun Kwon, Chenglin Fan | Published: 2025-05-22
A Survey On Secure Machine Learning
Authors: Taobo Liao, Taoran Li, Prathamesh Nadkarni | Published: 2025-05-21
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile
Authors: Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa | Published: 2023-06-27