Chuan Guo

Citirano

	Sve	Od 2018.
Citati	6955	6870
H-indeks	17	17
i10-indeks	24	23

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201720182019202020212022202347 253 568 1160 1669 2108 1105

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Suautori

Kilian WeinbergerCornell UniversityPotvrđena adresa e-pošte na cornell.edu
Laurens van der MaatenResearch Director, Meta AI (FAIR)Potvrđena adresa e-pošte na fb.com
Yu SunEECS, UC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Geoff PleissColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
Ruihan WuCornell UniversityPotvrđena adresa e-pošte na cornell.edu
Awni HannunMachine Learning Research, ApplePotvrđena adresa e-pošte na apple.com
Mayank RanaResearch Engineer, Facebook AI ResearchPotvrđena adresa e-pošte na fb.com
Gao Huang （黄高）Associate Professor, Tsinghua UniversityPotvrđena adresa e-pošte na tsinghua.edu.cn
Jacob GardnerUniversity of PennsylvaniaPotvrđena adresa e-pošte na seas.upenn.edu
Felix WuASAPPPotvrđena adresa e-pošte na asapp.com
Andrew Gordon WilsonNew York UniversityPotvrđena adresa e-pošte na cims.nyu.edu
Yurong YouCornell UniversityPotvrđena adresa e-pošte na cornell.edu
Alexandre SablayrollesMeta AIPotvrđena adresa e-pošte na meta.com
Qiantong XuFacebook AI ResearchPotvrđena adresa e-pošte na fb.com
Yang YuanMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na cs.cornell.edu
Matt J. KusnerAssociate Professor, University College LondonPotvrđena adresa e-pošte na ucl.ac.uk
Fei ShaU of Southern CaliforniaPotvrđena adresa e-pošte na usc.edu
Tom GoldsteinVolpi-Cupal Associate Professor of Computer Science, University of MarylandPotvrđena adresa e-pošte na cs.umd.edu
Kamalika ChaudhuriProfessor of Computer Science, UCSD. Research Scientist, Meta AIPotvrđena adresa e-pošte na ucsd.edu
Yiyou SunUniversity of Wisconsin MadisonPotvrđena adresa e-pošte na cs.wisc.edu

Prati

Chuan Guo

Research Scientist, Meta AI (FAIR)

Potvrđena adresa e-pošte na fb.com - Početna stranica

Machine Learning Adversarial Learning Differential Privacy Federated Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
On calibration of modern neural networks C Guo, G Pleiss, Y Sun, KQ Weinberger International conference on machine learning, 1321-1330, 2017	3950	2017
Countering adversarial images using input transformations C Guo, M Rana, M Cisse, L Van Der Maaten arXiv preprint arXiv:1711.00117, 2017	1229	2017
Simple black-box adversarial attacks C Guo, J Gardner, Y You, AG Wilson, K Weinberger International Conference on Machine Learning, 2484-2493, 2019	374	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	268	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	195	2016
Certified data removal from machine learning models C Guo, T Goldstein, A Hannun, L Van Der Maaten arXiv preprint arXiv:1911.03030, 2019	160	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	133	2021
Low frequency adversarial perturbation C Guo, JS Frank, KQ Weinberger arXiv preprint arXiv:1809.08758, 2018	124	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	102	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	84	2017
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	46	2019
Gradient-based adversarial attacks against text transformers C Guo, A Sablayrolles, H Jégou, D Kiela arXiv preprint arXiv:2104.13733, 2021	41	2021
Palindromic rich words and run-length encodings C Guo, J Shallit, AM Shur Information Processing Letters 116 (12), 735-738, 2016	28*	2016
On Hiding Neural Networks Inside Neural Networks C Guo, R Wu, KQ Weinberger arXiv preprint arXiv:2002.10078, 2020	27*	2020
On the importance of difficulty calibration in membership inference attacks L Watson, C Guo, G Cormode, A Sablayrolles arXiv preprint arXiv:2111.08440, 2021	25	2021
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	22	2022
Online adaptation to label distribution shift R Wu, C Guo, Y Su, KQ Weinberger Advances in Neural Information Processing Systems 34, 11340-11351, 2021	18	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	16	2021
Making paper reviewing robust to bid manipulation attacks R Wu, C Guo, F Wu, R Kidambi, L Van Der Maaten, K Weinberger International Conference on Machine Learning, 11240-11250, 2021	16	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	14	2022

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