Chawin Sitawarin is a PhD student in computer science at the University of California, Berkeley. He has co-authored multiple papers in the area of machine learning and adversarial robustness. He has presented multiple times at Deep Learning and Security Workshop (co-located with IEEE S&P). His papers were published in machine learning and computer security conferences including Conference on Neural Information Processing Systems (NeurIPS), Artificial Intelligence and Security Workshop (AISec) and Conference on Computer and Communications Security (CCS).
CLTC Grant Projects
- Robust Machine Learning via Random Transformation (2021)
- Robust Object Classification via Part-Based Models (2022)