3 papers
cs.HC2023
Democratizing Chatbot Debugging: A Computational Framework for Evaluating and Explaining Inappropriate Chatbot Responses
Xu Han, Michelle Zhou, Yichen Wang +2
Evaluating and understanding the inappropriateness of chatbot behaviors can be challenging, particularly for chatbot designers without technical backgrounds. To democratize the deb…
math.ST2023
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
T. Tony Cai, Yichen Wang, Linjun Zhang
Achieving optimal statistical performance while ensuring the privacy of personal data is a challenging yet crucial objective in modern data analysis. However, characterizing the op…
cs.LG2023
Improved Differentially Private Regression via Gradient Boosting
Shuai Tang, Sergul Aydore, Michael Kearns +5
We revisit the problem of differentially private squared error linear regression. We observe that existing state-of-the-art methods are sensitive to the choice of hyperparameters -…