Chuan Guo

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Kilian WeinbergerCornell UniversityVerified email at cornell.edu
Laurens van der MaatenDistinguished Research Scientist, Llama Team, Meta AIVerified email at meta.com
Yu SunPostdoc, Stanford UniversityVerified email at cs.stanford.edu
Geoff PleissAssistant Professor, University of British ColumbiaVerified email at stat.ubc.ca
Ruihan WuUniversity of California, San DiegoVerified email at ucsd.edu
Mayank RanaResearch Engineer, Facebook AI ResearchVerified email at fb.com
Awni HannunMachine Learning Research, AppleVerified email at apple.com
Gao Huang （黄高）Associate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Jacob GardnerUniversity of PennsylvaniaVerified email at seas.upenn.edu
Felix WuCharacter AIVerified email at character.ai
Moustapha CisseProfessor of Machine Learning AIMS, Founder & CEO KeraVerified email at kera.care
Alexandre SablayrollesMeta AIVerified email at meta.com
Qiantong XuGoogle DeepmindVerified email at google.com
Yang YuanTsinghua UniversityVerified email at tsinghua.edu.cn
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
Yurong YouNVIDIA ResearchVerified email at nvidia.com
Edward SuhNVIDIA / Cornell UniversityVerified email at csl.cornell.edu
Yiyou SunUniversity of California, BerkeleyVerified email at berkeley.edu
Sharon Yixuan LiUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu

Chuan Guo

Research Scientist, FAIR, Meta

Verified email at fb.com - Homepage

Machine Learning Adversarial Learning Differential Privacy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On calibration of modern neural networks C Guo, G Pleiss, Y Sun, KQ Weinberger International conference on machine learning, 1321-1330, 2017	6437	2017
Countering adversarial images using input transformations C Guo, M Rana, M Cisse, L Van Der Maaten arXiv preprint arXiv:1711.00117, 2017	1683	2017
Simple black-box adversarial attacks C Guo, J Gardner, Y You, AG Wilson, K Weinberger International conference on machine learning, 2484-2493, 2019	647	2019
React: Out-of-distribution detection with rectified activations Y Sun, C Guo, Y Li Advances in Neural Information Processing Systems 34, 144-157, 2021	454	2021
Certified data removal from machine learning models C Guo, T Goldstein, A Hannun, L Van Der Maaten arXiv preprint arXiv:1911.03030, 2019	423	2019
An empirical study on evaluation metrics of generative adversarial networks Q Xu, G Huang, Y Yuan, C Guo, Y Sun, F Wu, K Weinberger arXiv preprint arXiv:1806.07755, 2018	389	2018
Supervised word mover's distance G Huang, C Guo, MJ Kusner, Y Sun, F Sha, KQ Weinberger Advances in neural information processing systems 29, 2016	246	2016
Gradient-based adversarial attacks against text transformers C Guo, A Sablayrolles, H Jégou, D Kiela arXiv preprint arXiv:2104.13733, 2021	186	2021
Low frequency adversarial perturbation C Guo, JS Frank, KQ Weinberger arXiv preprint arXiv:1809.08758, 2018	184	2018
A new defense against adversarial images: Turning a weakness into a strength S Hu, T Yu, C Guo, WL Chao, KQ Weinberger Advances in neural information processing systems 32, 2019	139	2019
Discovering and exploiting additive structure for Bayesian optimization J Gardner, C Guo, K Weinberger, R Garnett, R Grosse Artificial Intelligence and Statistics, 1311-1319, 2017	126	2017
On the importance of difficulty calibration in membership inference attacks L Watson, C Guo, G Cormode, A Sablayrolles arXiv preprint arXiv:2111.08440, 2021	110	2021
Breaking the glass ceiling for embedding-based classifiers for large output spaces C Guo, A Mousavi, X Wu, DN Holtmann-Rice, S Kale, S Reddi, S Kumar Advances in Neural Information Processing Systems 32, 2019	73	2019
Eiffel: Ensuring integrity for federated learning A Roy Chowdhury, C Guo, S Jha, L van der Maaten Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022	65	2022
Bounding training data reconstruction in private (deep) learning C Guo, B Karrer, K Chaudhuri, L van der Maaten International Conference on Machine Learning, 8056-8071, 2022	58	2022
Measuring data leakage in machine-learning models with fisher information A Hannun, C Guo, L van der Maaten Uncertainty in Artificial Intelligence, 760-770, 2021	58	2021
Online adaptation to label distribution shift R Wu, C Guo, Y Su, KQ Weinberger Advances in Neural Information Processing Systems 34, 11340-11351, 2021	56	2021
Advprompter: Fast adaptive adversarial prompting for llms A Paulus, A Zharmagambetov, C Guo, B Amos, Y Tian arXiv preprint arXiv:2404.16873, 2024	39	2024
On Hiding Neural Networks Inside Neural Networks C Guo, R Wu, KQ Weinberger arXiv preprint arXiv:2002.10078, 2020	37*	2020
Palindromic rich words and run-length encodings C Guo, J Shallit, AM Shur Information Processing Letters 116 (12), 735-738, 2016	32*	2016

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