NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. - Buyun Liang 001; Ju Sun (CoRR, 2021)

Optimization for Robustness Evaluation beyond 𝓁p Metrics. - Hengyue Liang; Buyun Liang 001; Ying Cui; Tim Mitchell; Ju Sun (CoRR, 2022)

NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. - Buyun Liang 001; Tim Mitchell; Ju Sun (CoRR, 2022)

Implications of Solution Patterns on Adversarial Robustness. - Hengyue Liang; Buyun Liang 001; Ju Sun; Ying Cui; Tim Mitchell (CVPR Workshops, 2023)

Optimization for Robustness Evaluation Beyond ℓp Metrics. - Hengyue Liang; Buyun Liang 001; Ying Cui; Tim Mitchell; Ju Sun (ICASSP, 2023)

Optimization and Optimizers for Adversarial Robustness. - Hengyue Liang; Buyun Liang 001; Le Peng; Ying Cui; Tim Mitchell; Ju Sun (CoRR, 2023)

Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC. - Bhargav Joshi; Taihui Li; Buyun Liang 001; Roger Rusack; Ju Sun (CoRR, 2023)

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs. - Buyun Liang 001; Kwan Ho Ryan Chan; Darshan Thaker; Jinqi Luo; René Vidal (CoRR, 2025)