Chawin Sitawarin
Member Of Technical Staff at Anthropic
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolChawin Sitawarin is a research scientist at Google DeepMind specializing in security and privacy for machine learning, with a decade of experience focused on adversarial robustness and privacy-preserving ML. He earned his PhD in Computer Science from UC Berkeley under Prof. David Wagner and has held research positions at Meta, Google, IBM, Nokia Bell Labs, and Princeton, blending deep academic rigor with industrial impact. His recent work centers on vulnerabilities and defenses for large language models, building on a strong track record in adversarial examples and causal approaches to robustness. Comfortable moving between theory and systems, he has a history of shipping research through internships and postdoctoral work that influence production-facing teams. Based in the Bay Area, he brings a rare combination of hands-on implementation experience (from C/C++/MATLAB hardware synthesis to modern ML stacks) and cutting-edge security research.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyBachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at Princeton University
English, Thai
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (69)
benchmark10
adversarial-attacks10
security10
representation-learning10
audio10
prompt-injection10
patch10
benchmarking10
large-scale10
github-pages10
adversarial-machine-learning10
jekyll10
jekyll-theme10
scale9
nlp9
Programming languages (4)
Github contributions (5)
chawins/adv-patch-bench
Sep 2021 - Oct 2022
Contributions:1 review, 2 PRs, 390 pushes in 1 year 2 months
chawins/knn-defense
Mar 2019 - Mar 2020
Adversarial Examples on KNN (and its neural network friends)
Contributions:20 commits, 20 pushes, 1 branch in 1 year
knnneural-networkadversarial-examplerepresentation-learningk-nearest-neighbor
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