Chuan Guo

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Kilian WeinbergerCornell UniversityVerified email at cornell.edu
Laurens van der MaatenDistinguished Research Scientist, 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
Gao Huang （黄高）Associate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Awni HannunMachine Learning Research, AppleVerified email at apple.com
Mayank RanaResearch Engineer, Facebook AI ResearchVerified email at fb.com
Moustapha CisseProfessor of Machine Learning AIMS, Founder & CEO KeraVerified email at kera.care
Felix WuCharacter AIVerified email at character.ai
Jacob GardnerUniversity of PennsylvaniaVerified email at seas.upenn.edu
Kamalika ChaudhuriProfessor of Computer Science, UCSD. Research Scientist, Meta AIVerified email at ucsd.edu
Qiantong XuFacebook AI ResearchVerified email at fb.com
Yang YuanMassachusetts Institute of TechnologyVerified email at cs.cornell.edu
Alexandre SablayrollesMeta AIVerified email at meta.com
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
Yurong YouCornell UniversityVerified email at cornell.edu
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Yiyou SunNEC lab America / University of Wisconsin MadisonVerified email at cs.wisc.edu
Sharon Yixuan LiUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu

Chuan Guo

Research Scientist, FAIR, Meta

Verified email at fb.com - Homepage

Machine Learning Adversarial Learning Differential Privacy Federated Learning


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	4713	2017
Countering adversarial images using input transformations C Guo, M Rana, M Cisse, L Van Der Maaten arXiv preprint arXiv:1711.00117, 2017	1368	2017
Simple black-box adversarial attacks C Guo, J Gardner, Y You, AG Wilson, K Weinberger International Conference on Machine Learning, 2484-2493, 2019	467	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	305	2018
Certified data removal from machine learning models C Guo, T Goldstein, A Hannun, L Van Der Maaten arXiv preprint arXiv:1911.03030, 2019	223	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	214	2021
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	209	2016
Low frequency adversarial perturbation C Guo, JS Frank, KQ Weinberger arXiv preprint arXiv:1809.08758, 2018	144	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	116	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	96	2017
Gradient-based adversarial attacks against text transformers C Guo, A Sablayrolles, H Jégou, D Kiela arXiv preprint arXiv:2104.13733, 2021	68	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	56	2019
On the importance of difficulty calibration in membership inference attacks L Watson, C Guo, G Cormode, A Sablayrolles arXiv preprint arXiv:2111.08440, 2021	45	2021
On Hiding Neural Networks Inside Neural Networks C Guo, R Wu, KQ Weinberger arXiv preprint arXiv:2002.10078, 2020	33*	2020
Online adaptation to label distribution shift R Wu, C Guo, Y Su, KQ Weinberger Advances in Neural Information Processing Systems 34, 11340-11351, 2021	31	2021
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	31	2021
Palindromic rich words and run-length encodings C Guo, J Shallit, AM Shur Information Processing Letters 116 (12), 735-738, 2016	28*	2016
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	27	2022
Secure multiparty computations in floating-point arithmetic C Guo, A Hannun, B Knott, L van der Maaten, M Tygert, R Zhu Information and Inference: A Journal of the IMA 11 (1), 103-135, 2022	24	2022
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	23	2022

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