Chuan Guo
Chuan Guo
Research Scientist, FAIR, Meta
Verified email at - Homepage
Cited by
Cited by
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
International conference on machine learning, 1321-1330, 2017
Countering adversarial images using input transformations
C Guo, M Rana, M Cisse, L Van Der Maaten
arXiv preprint arXiv:1711.00117, 2017
Simple black-box adversarial attacks
C Guo, J Gardner, Y You, AG Wilson, K Weinberger
International conference on machine learning, 2484-2493, 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
React: Out-of-distribution detection with rectified activations
Y Sun, C Guo, Y Li
Advances in Neural Information Processing Systems 34, 144-157, 2021
Certified data removal from machine learning models
C Guo, T Goldstein, A Hannun, L Van Der Maaten
arXiv preprint arXiv:1911.03030, 2019
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
Low frequency adversarial perturbation
C Guo, JS Frank, KQ Weinberger
arXiv preprint arXiv:1809.08758, 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
Gradient-based adversarial attacks against text transformers
C Guo, A Sablayrolles, H Jégou, D Kiela
arXiv preprint arXiv:2104.13733, 2021
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
On the importance of difficulty calibration in membership inference attacks
L Watson, C Guo, G Cormode, A Sablayrolles
arXiv preprint arXiv:2111.08440, 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
Online adaptation to label distribution shift
R Wu, C Guo, Y Su, KQ Weinberger
Advances in Neural Information Processing Systems 34, 11340-11351, 2021
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
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
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
On Hiding Neural Networks Inside Neural Networks
C Guo, R Wu, KQ Weinberger
arXiv preprint arXiv:2002.10078, 2020
Palindromic rich words and run-length encodings
C Guo, J Shallit, AM Shur
Information Processing Letters 116 (12), 735-738, 2016
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
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