Chuan Guo
Research Scientist at facebookresearch
Summary
👤
SeniorChuan Guo is a research-oriented machine learning engineer with nine years of experience focused on the intersection of ML and security, including adversarial robustness, differential privacy, and certified data removal. He has advanced these topics through research roles at Meta/FAIR and internships at Facebook AI and Google, with work accepted at top venues such as ICLR, ICML, and NeurIPS. Now a Member of Technical Staff at OpenAI, he blends rigorous academic training—a PhD in Computer Science from Cornell and a cryptography-focused MMath from Waterloo—with hands-on engineering of privacy- and security-aware ML systems. Beyond core research, he has contributed to large-scale text classification and neural network calibration, reflecting a rare mix of theoretical depth and practical scalability.
9 years of coding experience
Github Skills (21)
prompt-injection10
benchmark9
adversarial-attacks9
security9
large-language-models8
metric-learning7
compression5
llm5
word-embeddings5
machine-learning-models5
training-data4
deep-learning3
data-analysis3
pre-trained-model3
machine-learning3
Programming languages (3)
Github contributions (5)
cg563/simple-blackbox-attack
May 2019 - Jul 2020
Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
Contributions:17 commits, 17 pushes, 1 branch in 1 year 3 months
adversarial-attacks
facebookresearch/text-adversarial-attack
Apr 2021 - Dec 2022
Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"
Contributions:6 commits, 5 pushes, 8 comments in 1 year 8 months
adversarial-attacks
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