Improving the Generation Quality of Watermarked Large Language Models via Word Importance Scoring
Authors: Yuhang Li, Yihan Wang, Zhouxing Shi, Cho-Jui Hsieh | Published: 2023-11-16
Improvement of Learning
Seeing is Believing: A Federated Learning Based Prototype to Detect Wireless Injection Attacks
Authors: Aadil Hussain, Nitheesh Gundapu, Sarang Drugkar, Suraj Kiran, J. Harshan, Ranjitha Prasad | Published: 2023-11-11
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection
Authors: Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora | Published: 2023-11-08
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
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