Chien, Steve

Review on space robotics: Toward top-level science through space exploration

Gao, Y., & Chien, S. (2017) · Science Robotics

Space Satellite Systems and ControlSpace exploration and regulation

Cited by 296

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Ponomareva, N., Hazimeh, H., Kurakin, A., Xu, Z., Denison, C., McMahan, H. B., Vassilvitskii, S., Chien, S., & Thakurta, A. G. (2023) · Journal of Artificial Intelligence Research

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 166

A General Approach to Adding Differential Privacy to Iterative Training Procedures

McMahan, H. B., Andrew, G., Erlingsson, U., Chien, S., Mironov, I., Papernot, N., & Kairouz, P. (2018) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 126

Tempered Sigmoid Activations for Deep Learning with Differential Privacy

Papernot, N., Thakurta, A., Song, S., Chien, S., & Erlingsson, Ú. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 23

Space Applications of Artificial Intelligence

Chien, S., & Morris, R. (2014) · AI Magazine

Artificial Intelligence ApplicationsSpace exploration and regulation

Cited by 21

EANA: Reducing Privacy Risk on Large-scale Recommendation Models

Ning, L., Chien, S., Song, S., Chen, M., Xue, Y., & Berlowitz, D. (2022) · Proceedings of the 16th ACM Conference on Recommender Systems

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 5