Chuan Guo
RESEARCH SCIENTIST | MENLO PARK, UNITED STATES
Chuan is a research scientist at Facebook AI Research. His research focuses on machine learning safety, working towards a principled resolution of the robustness, security and privacy concerns arising from new applications of machine learning. He received his PhD from Cornell University in 2020.
Chuan's Publications
February 24, 2025
RESPONSIBLE AI
Detecting Benchmark Detection Through Watermarking
Alain Durmus, Chuan Guo, Pierre Fernandez, Saeed Mahloujifar, Tom Sander
February 24, 2025
December 11, 2024
COMPUTER VISION
Measuring Deja Vu Memorization Efficiently
Chuan Guo, Bargav Jayaraman, Florian Bordes, Kamalika Chaudhuri, Narine Kokhlikyan
December 11, 2024
August 15, 2024
INTEGRITY
COMPUTER VISION
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds
Mark Tygert, Chuan Guo, Kamalika Chaudhuri, Laurens van der Maaten, Saeed Mahloujifar
August 15, 2024
June 14, 2024
CORE MACHINE LEARNING
Differentially Private Representation Learning via Image Captioning
Maziar Sanjabi, Alain Durmus, Yi Ma, Chuan Guo, Kamalika Chaudhuri, Tom Sander, Yaodong Yu
June 14, 2024
June 14, 2024
CORE MACHINE LEARNING
ViP: A Differentially Private Foundation Model for Computer Vision
Maziar Sanjabi, Yi Ma, Chuan Guo, Kamalika Chaudhuri, Yaodong Yu
June 14, 2024
June 05, 2024
CORE MACHINE LEARNING
An Introduction to Vision-Language Modeling
Anurag Ajay, Alexander C. Li, Suzanne Petryk, Zhiqiu Lin, Anas Mahmoud, Jun Chen, Mazda Moayeri, Aishwarya Agrawal, Florian Bordes, Adrien Bardes, Arjang Talattof, Asli Celikyilmaz, Bargav Jayaraman, Candace Ross, Chuan Guo, Diane Bouchacourt, Ellen Tan, Haider Al-Tahan, Hu Xu, Jonathan Lebensold, Kamalika Chaudhuri, Karen Ullrich, Karthik Padthe, Kate Saenko, Kushal Tirumala, Mark Ibrahim, Megan Richards, Melissa Hall, Oscar Mañas, Pietro Astolfi, Quentin Garrido, Reyhane Askari, Richard Pang, Rim Assouel, Samuel Lavoie, Srihari Jayakumar, Vasu Sharma, Vikas Chandra, Xilun Chen, Yunyang Xiong, Zechun Liu
June 05, 2024
April 04, 2024
CORE MACHINE LEARNING
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
Chuan Guo, Adriana Romero Soriano, Jonathan Lebensold, Kamalika Chaudhuri, Maziar Sanjabi, Mike Rabbat, Pietro Astolfi
April 04, 2024
April 25, 2022
On the Importance of Difficulty Calibration in Membership Inference Attacks
Graham Cormode, Alex Sablayrolles, Chuan Guo, Lauren Watson
April 25, 2022
December 06, 2021
INTEGRITY
CORE MACHINE LEARNING
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Weizhe Hua, Yichi Zhang, Zhiru Zhang, Edward Suh, Chuan Guo
December 06, 2021
October 20, 2021
Gradient-based Adversarial Attacks against Text Transformers
Alexandre Sablayrolles, Chuan Guo, Douwe Kiela, Herve Jegou
October 20, 2021
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