65 citations · 162 across the 30 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold
Sai Venkatesh Chilukoti, Md Imran Hossen, Liqun Shan +4
Differentially Private Stochastic Gradient Descent (DP-SGD) has become a widely used technique for safeguarding sensitive information in deep learning applications. Unfortunately,…
cs.CY2023★ 7 cited
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment
Jianyi Zhang, Xu Ji, Zhangchi Zhao +2
This paper examines the ethical considerations and implications of large language models (LLMs) in generating content. It highlights the potential for both positive and negative us…