Robust Survival Analysis with Adversarial Regularization
Authors: Michael Potter, Stefano Maxenti, Michael Everett | Published: 2023-12-26 | Updated: 2024-09-19
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Reinforcement Unlearning
Authors: Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue | Published: 2023-12-26 | Updated: 2024-09-09
SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security
Authors: Zefang Liu | Published: 2023-12-26
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms
Authors: Sofia Zahri, Hajar Bennouri, Ahmed M. Abdelmoniem | Published: 2023-12-24
SODA: Protecting Proprietary Information in On-Device Machine Learning Models
Authors: Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant Shenoy | Published: 2023-12-22
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning
Authors: Youssef Allouah, Rachid Guerraoui, John Stephan | Published: 2023-12-22 | Updated: 2024-03-11
ChatGPT, Llama, can you write my report? An experiment on assisted digital forensics reports written using (Local) Large Language Models
Authors: Gaëtan Michelet, Frank Breitinger | Published: 2023-12-22
MetaAID 2.5: A Secure Framework for Developing Metaverse Applications via Large Language Models
Authors: Hongyin Zhu | Published: 2023-12-22
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
Authors: Janvi Thakkar, Giulio Zizzo, Sergio Maffeis | Published: 2023-12-21 | Updated: 2024-01-07
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration
Authors: Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard | Published: 2023-12-21 | Updated: 2024-06-10