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Scaling End-to-End Models for Large-Scale Multilingual ASR


Apr 30, 2021
Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma

* Submitted to INTERSPEECH 2021 

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Lookup-Table Recurrent Language Models for Long Tail Speech Recognition


Apr 09, 2021
W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman

* Submitted to Interspeech 2021 

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GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training


Feb 16, 2021
Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein


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Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching


Sep 04, 2020
Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein

* First two authors contributed equally. Last two authors contributed equally. 21 pages, 11 figures 

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MetaPoison: Practical General-purpose Clean-label Data Poisoning


Apr 01, 2020
W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein

* First two authors contributed equally 

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DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images


Oct 17, 2019
W. Ronny Huang, Yike Qi, Qianqian Li, Jonathan Degange

* First two authors contributed equally 

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Strong Baseline Defenses Against Clean-Label Poisoning Attacks


Sep 29, 2019
Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

* First two authors contributed equally 

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Understanding Generalization through Visualizations


Jul 16, 2019
W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein

* 8 pages (excluding acknowledgments and references), 8 figures 

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Transferable Clean-Label Poisoning Attacks on Deep Neural Nets


May 16, 2019
Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein

* Accepted to ICML2019 

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The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent


Apr 15, 2019
Karthik A. Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein


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Accurate, Data-Efficient Learning from Noisy, Choice-Based Labels for Inherent Risk Scoring


Nov 27, 2018
W. Ronny Huang, Miguel A. Perez

* Presented as an oral at the NIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy (FEAP-AI4Fin 2018). 9 pages, 4 figures 

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Are adversarial examples inevitable?


Sep 06, 2018
Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein


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Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks


Apr 03, 2018
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein

* 12 pages, 7 figures, with additional appendix 

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