Hello! My name is Chawin Sitawarin (ชวิน สีตวาริน). I am a PhD candidate in Computer Science at UC Berkeley, and I am a part of the security group, Berkeley Artificial Intelligence Research (BAIR) and Berkeley DeepDrive (BDD). My advisor is Prof. David Wagner. I have also spent some time at IBM Research, Nokia Bell Labs, and Google Research.
I am broadly interested in the security and safety aspects of machine learning. Most of my previous works are in the domain of adversarial machine learning, particularly adversarial examples and robustness of machine learning algorithms. More recently, I am interested in large language models both as a target for new kinds of attacks and as a security-enhancing tool.
Previously, I graduated from Princeton University in 2018 where I was very fortunate to be advised by Prof. Prateek Mittal, Prof. Peter Ramadge, and Prof. Alejandro Rodriguez. I was mentored and introduced to adversarial machine learning by Arjun Bhagoji.
I used to keep track of papers on adversarial examples, but I stopped after the number of papers has become overwhelming. You can still find the list here (last update: Sep 2019).