2 papers
cs.LG2026
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
Hao Liang, Wanrong Zhang, Xinlei He +2
Differentially Private Stochastic Gradient Descent (DPSGD) is widely used to protect sensitive data during the training of machine learning models, but its privacy guarantee often…
cs.AI2025
Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
Zhen Sun, Zongmin Zhang, Xinyue Shen +5
Social media platforms are experiencing a growing presence of AI-Generated Texts (AIGTs). However, the misuse of AIGTs could have profound implications for public opinion, such as…