متابعة
Chuan Guo
Chuan Guo
Research Scientist, FAIR, Meta
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
On calibration of modern neural networks‏
C Guo, G Pleiss, Y Sun, KQ Weinberger‏
International conference on machine learning, 1321-1330, 2017‏
67782017
Countering adversarial images using input transformations‏
C Guo, M Rana, M Cisse, L Van Der Maaten‏
arXiv preprint arXiv:1711.00117, 2017‏
17412017
Simple black-box adversarial attacks‏
C Guo, J Gardner, Y You, AG Wilson, K Weinberger‏
International conference on machine learning, 2484-2493, 2019‏
6852019
React: Out-of-distribution detection with rectified activations‏
Y Sun, C Guo, Y Li‏
Advances in Neural Information Processing Systems 34, 144-157, 2021‏
4952021
Certified data removal from machine learning models‏
C Guo, T Goldstein, A Hannun, L Van Der Maaten‏
arXiv preprint arXiv:1911.03030, 2019‏
4682019
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
4042018
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
2532016
Gradient-based adversarial attacks against text transformers‏
C Guo, A Sablayrolles, H Jégou, D Kiela‏
arXiv preprint arXiv:2104.13733, 2021‏
2092021
Low frequency adversarial perturbation‏
C Guo, JS Frank, KQ Weinberger‏
arXiv preprint arXiv:1809.08758, 2018‏
1922018
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
1452019
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
1322017
On the importance of difficulty calibration in membership inference attacks‏
L Watson, C Guo, G Cormode, A Sablayrolles‏
arXiv preprint arXiv:2111.08440, 2021‏
1202021
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
802022
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
742019
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
632022
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
612021
Online adaptation to label distribution shift‏
R Wu, C Guo, Y Su, KQ Weinberger‏
Advances in Neural Information Processing Systems 34, 11340-11351, 2021‏
582021
Advprompter: Fast adaptive adversarial prompting for llms‏
A Paulus, A Zharmagambetov, C Guo, B Amos, Y Tian‏
arXiv preprint arXiv:2404.16873, 2024‏
542024
An introduction to vision-language modeling‏
F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ...‏
arXiv preprint arXiv:2405.17247, 2024‏
502024
On Hiding Neural Networks Inside Neural Networks‏
C Guo, R Wu, KQ Weinberger‏
arXiv preprint arXiv:2002.10078, 2020‏
40*2020
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مقالات 1–20