Haonan Duan

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Adam DziedzicSrpintML group at CISPA, Vector Institute & University of TorontoVerified email at cispa.de
Nicolas PapernotUniversity of Toronto and Vector InstituteVerified email at utoronto.ca
Franziska BoenischAssistant Professor, CISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Yangjun RuanUniversity of TorontoVerified email at cs.toronto.edu
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Pashootan VaezipoorUniversity of TorontoVerified email at cs.toronto.edu
Vijay GaneshProfessor, Georgia Institute of Technology, Atlanta, GA, USAVerified email at gatech.edu
Saeed NejatiAmazonVerified email at amazon.com
Yudong LuoUniversity of WaterlooVerified email at uwaterloo.ca
Guiliang LiuChinese University of Hongkong, ShenzhenVerified email at cuhk.edu.cn
Nikita DhawanUniversity of Toronto and Vector InstituteVerified email at cs.toronto.edu
Yannis CattanMines Paris & ENS Paris-SaclayVerified email at etu.minesparis.psl.eu
Muhammad Ahmad KaleemUniversity of TorontoVerified email at mail.utoronto.ca
Jonas GuanUniversity of Toronto, Vector InstituteVerified email at cs.toronto.edu
Abdullah RashwanPhD student, Computer Science Department, University of WaterlooVerified email at uwaterloo.ca
George Trimponias

Haonan Duan

University of Toronto

Verified email at cs.toronto.edu - Homepage

machine learning


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Flocks of stochastic parrots: Differentially private prompt learning for large language models H Duan, A Dziedzic, N Papernot, F Boenisch Advances in Neural Information Processing Systems 36, 2024	23	2024
Augment with care: Contrastive learning for combinatorial problems H Duan, P Vaezipoor, MB Paulus, Y Ruan, C Maddison International Conference on Machine Learning, 5627-5642, 2022	19*	2022
Distributional reinforcement learning with monotonic splines Y Luo, G Liu, H Duan, O Schulte, P Poupart International Conference on Learning Representations, 2021	14	2021
Dataset inference for self-supervised models A Dziedzic, H Duan, MA Kaleem, N Dhawan, J Guan, Y Cattan, ... Advances in Neural Information Processing Systems 35, 12058-12070, 2022	13	2022
On the privacy risk of in-context learning H Duan, A Dziedzic, M Yaghini, N Papernot, F Boenisch The 61st Annual Meeting Of The Association For Computational Linguistics, 2023	12	2023
Online bayesian moment matching based sat solver heuristics H Duan, S Nejati, G Trimponias, P Poupart, V Ganesh International Conference on Machine Learning, 2710-2719, 2020	7	2020
Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch H Duan, A Rashwan, P Poupart, Z Chen International Journal of Approximate Reasoning 124, 66-81, 2020	4	2020
Sentence embedding encoders are easy to steal but hard to defend A Dziedzic, F Boenisch, M Jiang, H Duan, N Papernot ICLR 2023 Workshop on Pitfalls of limited data and computation for …, 2023	2	2023
Method of Moments in Approximate Bayesian Inference: From Theory to Practice H Duan University of Waterloo, 2021	1	2021

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