Quantization-aware Neural Architectural Search for Intrusion Detection
Authors: Rabin Yu Acharya, Laurens Le Jeune, Nele Mentens, Fatemeh Ganji, Domenic Forte | Published: 2023-11-07 | Updated: 2024-03-02
学習の改善
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach
Authors: Mohammad Hoseinpour, Milad Hoseinpour, Ali Aghagolzadeh | Published: 2023-07-25 | Updated: 2024-02-12
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
Authors: Rongqing Li, Jiaqi Yu, Changsheng Li, Wenhan Luo, Ye Yuan, Guoren Wang | Published: 2023-07-20
Application of BadNets in Spam Filters
Authors: Swagnik Roychoudhury, Akshaj Kumar Veldanda | Published: 2023-07-18
Population Expansion for Training Language Models with Private Federated Learning
Authors: Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis | Published: 2023-07-14
Enhancement attacks in biomedical machine learning
Authors: Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost | Published: 2023-01-05 | Updated: 2023-08-16
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
Authors: Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang | Published: 2022-11-08 | Updated: 2023-11-18
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
Authors: Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian | Published: 2022-11-08 | Updated: 2024-09-06
Adversarial Policies Beat Superhuman Go AIs
Authors: Tony T. Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell | Published: 2022-11-01 | Updated: 2023-07-13
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Authors: Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang | Published: 2022-09-21