Huang, W. Ronny

11 publications

NeurIPS 2021 GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein

ICLR 2021 Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping, Liam H Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein

ECCVW 2020 Deep k-NN Defense Against Clean-Label Data Poisoning Attacks Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

WACV 2020 DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images Yike Qi, W. Ronny Huang, Qianqian Li, Jonathan Degange

NeurIPS 2020 MetaPoison: Practical General-Purpose Clean-Label Data Poisoning W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein

ICML 2020 The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein

NeurIPSW 2020 Understanding Generalization Through Visualizations W Ronny Huang, Zeyad Emam, Micah Goldblum, Liam H Fowl, J K Terry, Furong Huang, Tom Goldstein

ICLR 2019 Are Adversarial Examples Inevitable? Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein

NeurIPSW 2019 DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images Yike Qi, W. Ronny Huang, Qianqian Li, Jonathan L. Degange

ICML 2019 Transferable Clean-Label Poisoning Attacks on Deep Neural Nets Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein

NeurIPS 2018 Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein