Attack Tree Analysis for Adversarial Evasion Attacks
Authors: Yuki Yamaguchi, Toshiaki Aoki | Published: 2023-12-28
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation
Authors: Hyunjune Kim, Sangyong Lee, Simon S. Woo | Published: 2023-12-28
Anticipated Network Surveillance — An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics
Authors: Aviral Srivastava, Dhyan Thakkar, Sharda Valiveti, Pooja Shah, Gaurang Raval | Published: 2023-12-27
Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption
Authors: Dongfang Zhao | Published: 2023-12-26
Robust Survival Analysis with Adversarial Regularization
Authors: Michael Potter, Stefano Maxenti, Michael Everett | Published: 2023-12-26 | Updated: 2024-09-19
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