Chuan Guo | 郭川
I am a Research Scientist on the Fundamental AI Research (FAIR) team at Meta. My research focuses on Responsible AI, and in particular on machine learning security and privacy. Topics that I am actively working on include adversarial and distributional robustness, privacy-preserving machine learning, and federated learning.
I obtained my PhD from Cornell University, co-advised by Kilian Weinberger and Karthik Sridharan. Prior to that, I obtained my bachelor's and Master's degrees in Mathematics and Computer Science from the University of Waterloo in Canada, advised by Douglas R. Stinson. My Erdös number is 2 as a result of my collaborations with Douglas R. Stinson and Jeffrey O. Shallit.
Email: chuanguo [at] meta [dot] com
Publications
Selected Publications
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten. International Conference on Machine Learning (ICML), 2022. [Long oral]
Awni Hannun, Chuan Guo, Laurens van der Maaten. Conference on Uncertainty in Artificial Intelligence (UAI), 2021. [Best paper award]
Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten. International Conference on Machine Learning (ICML), 2020.
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger. International Conference on Machine Learning (ICML), 2019.
Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten. International Conference on Learning Representations (ICLR), 2018.
Chuan Guo*, Geoff Pleiss*, Yu Sun*, Kilian Q. Weinberger. International Conference on Machine Learning (ICML), 2017.
2023
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger. Conference on Uncertainty in Artificial Intelligence (UAI), 2023.
Analyzing privacy leakage in machine learning via multiple hypothesis testing: A lesson from Fano [paper]
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi. International Conference on Machine Learning (ICML), 2023.
Cocktail Party Attack: Breaking aggregation-based privacy in federated learning using independent component analysis [paper]
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee. International Conference on Machine Learning (ICML), 2023.
Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat. International Conference on Machine Learning (ICML), 2023.
Preliminary version presented at NeurIPS International Workshop on Federated Learning, 2022.
Kiwan Maeng*, Chuan Guo*, Sanjay Kariyappa, Edward Suh. ArXiv, 2023.
Preliminary version presented at NeurIPS International Workshop on Federated Learning, 2022.
Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo. ArXiv, 2023.
Elvis Dohmatob, Chuan Guo, Morgane Goibert. International Conference on Artificial Intelligence and Statistics (AISTATS), 2023. [Oral presentation]
Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo. International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
2022
Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten. ACM Conference on Computer and Communications Security (CCS), 2022.
Kamalika Chaudhuri*, Chuan Guo*, Mike Rabbat. Conference on Uncertainty in Artificial Intelligence (UAI), 2022.
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten. International Conference on Machine Learning (ICML), 2022. [Long oral]
Antonio A. Ginart, Laurens van der Maaten, James Zou, Chuan Guo. ArXiv, 2022.
Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles. International Conference on Learning Representations (ICLR), 2022.
2021
Yiyou Sun, Chuan Guo, Yixuan Li. Conference on Neural Information Processing Systems (NeurIPS), 2021.
Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh. Conference on Neural Information Processing Systems (NeurIPS), 2021.
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger. Conference on Neural Information Processing Systems (NeurIPS), 2021.
Ruihan Wu, Chuan Guo, Awni Hannun, Laurens van der Maaten. Conference on Neural Information Processing Systems (NeurIPS), 2021.
Chuan Guo*, Alexandre Sablayrolles*, Hervé Jégou, Douwe Kiela. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram. ICLR Workshop on Safety and Security in Machine Learning Systems, 2021.
Awni Hannun, Chuan Guo, Laurens van der Maaten. Conference on Uncertainty in Artificial Intelligence (UAI), 2021. [Best paper award]
Ruihan Wu*, Chuan Guo*, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger. International Conference on Machine Learning (ICML), 2021.
Chuan Guo, Awni Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu. Information and Inference, A Journal of the IMA, iaaa038, 2021. [Alphabetical order]
2016-2020
Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten. International Conference on Machine Learning (ICML), 2020.
Chuan Guo*, Ruihan Wu*, Kilian Q. Weinberger. ArXiv, 2020.
Tao Yu*, Shengyuan Hu*, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger. Conference on Neural Information Processing Systems (NeurIPS), 2019.
Chuan Guo*, Ali Mousavi*, Xiang Wu, Daniel Holtmann-Rice, Satyen Kale, Sashank Reddi, Sanjiv Kumar. Conference on Neural Information Processing Systems (NeurIPS), 2019.
Chuan Guo, Jared S. Frank, Kilian Q. Weinberger. Conference on Uncertainty in Artificial Intelligence (UAI), 2019.
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger. International Conference on Machine Learning (ICML), 2019.
Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten. International Conference on Learning Representations (ICLR), 2018.
Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger. ArXiv, 2018.
Chuan Guo*, Geoff Pleiss*, Yu Sun*, Kilian Q. Weinberger. International Conference on Machine Learning (ICML), 2017.
Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger Grosse. International Conference on Artificial Intelligence and Statistics (AISTATS), 2017.
Gao Huang*, Chuan Guo*, Matt J. Kusner, Yu Sun, Kilian Q. Weinberger, Fei Sha. Conference on Neural Information Processing Systems (NeurIPS), 2016. [Oral presentation]
Theses
Committee: Kilian Q. Weinberger, Karthik Sridharan, Thorsten Joachims
Department of Computer Science, Cornell University, 2020
Committee: Douglas R. Stinson, Alfred Menezes, David Jao
Department of Computer Science, University of Waterloo, 2015
Combinatorics
Chuan Guo, Michael Newman. On b-chromatic numbers of Cartesian products. Discrete Applied Mathematics 239, pp. 82–93, 2018.
Chuan Guo, Douglas R. Stinson. A tight bound on the size of certain separating hash families. Australasian Journal of Combinatorics 67, pp. 294–303, 2017.
Chuan Guo, Jeffrey Shallit, Arseny M. Shur. Palindromic rich words and run-length encodings. Information Processing Letters 116, pp. 735–738, 2016.
Chuan Guo, Douglas R. Stinson, Tran van Trung. On symmetric designs and binary 3-frameproof codes. In Springer Proceedings in Mathematics and Statistics: Algebraic Design Theory and Hadamard Matrices (ADTHM), pp. 125–136, 2015.
Chuan Guo, Douglas R. Stinson, Tran van Trung. On tight bounds for binary frameproof codes. Designs, Codes and Cryptography 77, pp. 301–319, 2015.