Furong Huang

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Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Micah GoldblumNew York UniversityVerified email at nyu.edu
Yanchao SunUniversity of Maryland, College ParkVerified email at umd.edu
Sicheng ZhuUniversity of Maryland, College ParkVerified email at umd.edu
Dinesh ManochaDistinguished University Professor, University of Maryland at College ParkVerified email at umd.edu
Bang AnUniversity of Maryland, College ParkVerified email at umd.edu
Amrit Singh BediAssistant Professor in Department of Computer Science, University of Central Florida, FL, USAVerified email at ucf.edu
Ruijie ZhengUniversity of Maryland, College ParkVerified email at umd.edu
Souradip ChakrabortyUniversity of Maryland, College Park | Past : ML Research@Walmart LabsVerified email at umd.edu
Mucong DingDepartment of Computer Science, University of MarylandVerified email at cs.umd.edu
Eitan BorgniaPhD Student UChicagoVerified email at uchicago.edu
Jonas GeipingResearch Group Leader ELLIS Institute Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Yongyuan LiangUniversity of Maryland, College ParkVerified email at umd.edu
Xiyao WangPh.D. in University of Maryland, College ParkVerified email at umd.edu
Xiaoyu LiuPhD Student, University of Maryland, College ParkVerified email at umd.edu
Tahseen RabbaniPhD Student, University of MarylandVerified email at umd.edu
Arjun GuptaPerception Engineer at ZiplineVerified email at flyzipline.com
Arpit BansalUniversity of Maryland, College ParkVerified email at umd.edu
Amin GhiasiApple Verified email at umd.edu

Furong Huang

Associate Professor of Computer Science, University of Maryland

Verified email at umd.edu - Homepage

Trustworthy AI/ML Reinforcement Learning Generative AI


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Escaping from saddle points—online stochastic gradient for tensor decomposition R Ge, F Huang, C Jin, Y Yuan Conference on learning theory, 797-842, 2015	1238	2015
Cold diffusion: Inverting arbitrary image transforms without noise A Bansal, E Borgnia, HM Chu, JS Li, H Kazemi, F Huang, M Goldblum, ... Thirty-seventh Conference on Neural Information Processing Systems, 2022	184	2022
Dp-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ... arXiv preprint arXiv:2103.02079, 2021	142*	2021
High-dimensional structure estimation in Ising models: Local separation criterion A Anandkumar, VYF Tan, F Huang, AS Willsky The Annals of Statistics, 1346-1375, 2012	129	2012
Learning deep resnet blocks sequentially using boosting theory F Huang, J Ash, J Langford, R Schapire International Conference on Machine Learning, 2058-2067, 2018	128	2018
Convolutional Tensor-Train LSTM for Spatio-temporal Learning J Su, W Byeon, F Huang, J Kautz, A Anandkumar Advances in Neural Information Processing Systems, 2020	124	2020
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models TZ Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu ...	112*	2023
High-dimensional Gaussian graphical model selection: Walk summability and local separation criterion A Anandkumar, VYF Tan, F Huang, AS Willsky Journal of Machine Learning Research 13 (August), 2012	106	2012
Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024	97	2024
Position: On the Possibilities of AI-Generated Text Detection S Chakraborty, A Bedi, S Zhu, B An, D Manocha, F Huang Forty-first International Conference on Machine Learning, 2024	83*	2024
AutoDAN: Automatic and interpretable adversarial attacks on large language models S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ... arXiv preprint arXiv:2310.15140, 2023	73*	2023
Understanding generalization through visualizations WR Huang, Z Emam, M Goldblum, L Fowl, JK Terry, F Huang, T Goldstein PMLR, 2020	69	2020
Learning mixtures of tree graphical models A Anandkumar, DJ Hsu, F Huang, SM Kakade Advances in Neural Information Processing Systems 25, 2012	67*	2012
Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks A Schwarzschild, E Borgnia, A Gupta, F Huang, U Vishkin, M Goldblum, ... Advances in Neural Information Processing Systems 34, 6695-6706, 2021	62	2021
Who is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Y Sun, R Zheng, Y Liang, F Huang The Tenth International Conference on Learning Representations, 2022	61	2022
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Y Sun, D Huo, F Huang International Conference on Learning Representations, 2021	52	2021
Prediction-based spectrum aggregation with hardware limitation in cognitive radio networks F Huang, W Wang, H Luo, G Yu, Z Zhang 2010 IEEE 71st Vehicular Technology Conference, 1-5, 2010	51	2010
Online tensor methods for learning latent variable models F Huang, UN Niranjan, MU Hakeem, A Anandkumar The Journal of Machine Learning Research 16 (1), 2797-2835, 2015	46	2015
Convolutional dictionary learning through tensor factorization F Huang, A Anandkumar Feature Extraction: Modern Questions and Challenges, 116-129, 2015	45	2015
Fast detection of overlapping communities via online tensor methods F Huang, UN Niranjan, MU Hakeem, A Anandkumar arXiv preprint arXiv:1309.0787 40, 43, 2013	44	2013

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