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
December 11, 2024
COMPUTER VISION
Measuring Deja Vu Memorization Efficiently
Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri
December 11, 2024
August 15, 2024
INTEGRITY
COMPUTER VISION
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds
Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert
August 15, 2024
June 14, 2024
CORE MACHINE LEARNING
Differentially Private Representation Learning via Image Captioning
Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
June 14, 2024
June 14, 2024
CORE MACHINE LEARNING
ViP: A Differentially Private Foundation Model for Computer Vision
Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
June 14, 2024
June 05, 2024
CORE MACHINE LEARNING
An Introduction to Vision-Language Modeling
Florian Bordes, Richard Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
June 05, 2024
April 04, 2024
CORE MACHINE LEARNING
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo
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, Chuan Guo, Zhiru Zhang, Edward Suh
December 06, 2021
October 20, 2021
Gradient-based Adversarial Attacks against Text Transformers
Alexandre Sablayrolles, Chuan Guo, Douwe Kiela, Hervé Jegou
October 20, 2021
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