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 (NeurIPS, 2018)

Accurate, Data-Efficient Learning from Noisy, Choice-Based Labels for Inherent Risk Scoring. - W. Ronny Huang; Miguel A. Perez (CoRR, 2018)

Are adversarial examples inevitable? - Ali Shafahi; W. Ronny Huang; Christoph Studer; Soheil Feizi; Tom Goldstein (ICLR (Poster), 2019)

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. - Chen Zhu 001; W. Ronny Huang; Hengduo Li; Gavin Taylor; Christoph Studer; Tom Goldstein (ICML, 2019)

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. - Chen Zhu 001; W. Ronny Huang; Ali Shafahi; Hengduo Li; Gavin Taylor; Christoph Studer; Tom Goldstein (CoRR, 2019)

Strong Baseline Defenses Against Clean-Label Poisoning Attacks. - Neal Gupta; W. Ronny Huang; Liam Fowl; Chen Zhu 001; Soheil Feizi; Tom Goldstein; John P. Dickerson (CoRR, 2019)

Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. - Neehar Peri; Neal Gupta; W. Ronny Huang; Liam Fowl; Chen Zhu 001; Soheil Feizi; Tom Goldstein; John P. Dickerson (ECCV Workshops (1), 2020)

Understanding Generalization Through Visualizations. - W. Ronny Huang; Zeyad Emam; Micah Goldblum; Liam Fowl; Justin K. Terry; Furong Huang; Tom Goldstein (ICBINB@NeurIPS, 2020)

The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. - Karthik Abinav Sankararaman; Soham De; Zheng Xu 002; W. Ronny Huang; Tom Goldstein (ICML, 2020)

MetaPoison: Practical General-purpose Clean-label Data Poisoning. - W. Ronny Huang; Jonas Geiping; Liam Fowl; Gavin Taylor; Tom Goldstein (NeurIPS, 2020)

DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. - Yike Qi; W. Ronny Huang; Qianqian Li; Jonathan L. DeGange (WACV, 2020)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma; Junwen Bai (ASRU, 2021)

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. - Jonas Geiping; Liam H. Fowl; W. Ronny Huang; Wojciech Czaja; Gavin Taylor; Michael Moeller 001; Tom Goldstein (ICLR, 2021)

Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. - W. Ronny Huang; Tara N. Sainath; Cal Peyser; Shankar Kumar; David Rybach; Trevor Strohman (Interspeech, 2021)

GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. - Chen Zhu 001; Renkun Ni; Zheng Xu 002; Kezhi Kong; W. Ronny Huang; Tom Goldstein (NeurIPS, 2021)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma (CoRR, 2021)

Improving The Latency And Quality Of Cascaded Encoders. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Weiran Wang; David Qiu; Chung-Cheng Chiu; Rohit Prabhavalkar; Alexander Gruenstein; Anmol Gulati; Bo Li 028; David Rybach; et al. (ICASSP, 2022)

Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. - Hao Zhang 010; You-Chi Cheng; Shankar Kumar; W. Ronny Huang; Mingqing Chen; Rajiv Mathews (ICASSP, 2022)

E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. - W. Ronny Huang; Shuo-Yiin Chang; David Rybach; Tara N. Sainath; Rohit Prabhavalkar; Cal Peyser; Zhiyun Lu; Cyril Allauzen (INTERSPEECH, 2022)

Detecting Unintended Memorization in Language-Model-Fused ASR. - W. Ronny Huang; Steve Chien; Om Dipakbhai Thakkar; Rajiv Mathews (INTERSPEECH, 2022)

Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. - W. Ronny Huang; Cal Peyser; Tara N. Sainath; Ruoming Pang; Trevor D. Strohman; Shankar Kumar (INTERSPEECH, 2022)

Towards Disentangled Speech Representations. - Cal Peyser; W. Ronny Huang; Andrew Rosenberg; Tara N. Sainath; Michael Picheny; Kyunghyun Cho (INTERSPEECH, 2022)

Improving Rare Word Recognition with LM-aware MWER Training. - Weiran Wang; Tongzhou Chen; Tara N. Sainath; Ehsan Variani; Rohit Prabhavalkar; W. Ronny Huang; Bhuvana Ramabhadran; Neeraj Gaur; Sepand Mavandadi; Cal Peyser; Trevor Strohman; Yanzhang He; et al. (INTERSPEECH, 2022)

Modular Hybrid Autoregressive Transducer. - Zhong Meng; Tongzhou Chen; Rohit Prabhavalkar; Yu Zhang 033; Gary Wang; Kartik Audhkhasi; Jesse Emond; Trevor Strohman; Bhuvana Ramabhadran; W. Ronny Huang; Ehsan Variani; Yinghui Huang; et al. (SLT, 2022)

Dual Learning for Large Vocabulary On-Device ASR. - Cal Peyser; W. Ronny Huang; Tara N. Sainath; Rohit Prabhavalkar; Michael Picheny; Kyunghyun Cho (SLT, 2022)

Audio-Adapterfusion: A Task-Id-Free Approach for Efficient and Non-Destructive Multi-Task Speech Recognition. - Hillary Ngai; Rohan Agrawal; Neeraj Gaur; W. Ronny Huang; Parisa Haghani; Pedro Moreno Mengibar (ASRU, 2023)

Large-Scale Language Model Rescoring on Long-Form Data. - Tongzhou Chen; Cyril Allauzen; Yinghui Huang; Daniel S. Park; David Rybach; W. Ronny Huang; Rodrigo Cabrera; Kartik Audhkhasi; Bhuvana Ramabhadran; Pedro J. Moreno 001; Michael Riley 001 (ICASSP, 2023)

E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. - W. Ronny Huang; Shuo-Yiin Chang; Tara N. Sainath; Yanzhang He; David Rybach; Robert David; Rohit Prabhavalkar; Cyril Allauzen; Cal Peyser; Trevor D. Strohman (ICASSP, 2023)

A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. - Cal Peyser; Michael Picheny; Kyunghyun Cho; Rohit Prabhavalkar; W. Ronny Huang; Tara N. Sainath (ICASSP, 2023)

Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. - W. Ronny Huang; Hao Zhang 010; Shankar Kumar; Shuo-Yiin Chang; Tara N. Sainath (INTERSPEECH, 2023)

Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. - W. Ronny Huang; Cyril Allauzen; Tongzhou Chen; Kilol Gupta; Ke Hu; James Qin; Yu Zhang 033; Yongqiang Wang; Shuo-Yiin Chang; Tara N. Sainath (ICASSP, 2024)