Nilaksh Das

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 38

Top Topics

Speech Recognition

Top Venues

CHI Extended Abstracts

IEEE Trans. Vis. Comput. Graph.

Publications

Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models. CoRR (2024)
Nilaksh Das, Saket Dingliwal, Srikanth Ronanki, Rohit Paturi, Zhaocheng Huang, Prashant Mathur, Jie Yuan, Dhanush Bekal, Xing Niu, Sai Muralidhar Jayanthi, Xilai Li, Karel Mundnich, Monica Sunkara, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff
SpeechVerse: A Large-scale Generalizable Audio Language Model. CoRR (2024)
Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. ACL (Findings) (2024)
Nilaksh Das, Monica Sunkara, Sravan Bodapati, Jinglun Cai, Devang Kulshreshtha, Jeff Farris, Katrin Kirchhoff
Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation. CoRR (2023)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM (2023)
Nilaksh Das, Monica Sunkara, Sravan Bodapati, Jinglun Cai, Devang Kulshreshtha, Jeff Farris, Katrin Kirchhoff
Mask the Bias: Improving Domain-Adaptive Generalization of CTC-Based ASR with Internal Language Model Estimation. ICASSP (2023)
Nilaksh Das, Duen Horng Chau, Monica Sunkara, Sravan Bodapati, Dhanush Bekal, Katrin Kirchhoff
Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities. ICASSP (2022)
Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. ECCV Workshops (1) (2022)
Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors. CVPR (2022)
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. 14 (3) (2022)
Nilaksh Das, Duen Horng Chau
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. CoRR (2022)
Nilaksh Das, Polo Chau
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. INTERSPEECH (2022)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR (2022)
Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau
NeuroMapper: In-browser Visualizer for Neural Network Training. CoRR (2022)
Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. CoRR (2022)
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR (2021)
Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. CoRR (2021)
Nilaksh Das, Sravan Bodapati, Monica Sunkara, Sundararajan Srinivasan, Duen Horng Chau
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning. Interspeech (2021)
Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CoRR (2021)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CHI Extended Abstracts (2021)
Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. AAAI (2021)
Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference (2020)
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. IEEE VIS (Short Papers) (2020)
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CHI Extended Abstracts (2020)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts (2020)
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CoRR (2020)
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. CoRR (2020)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR (2020)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR (2020)
Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR (2019)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. KDD (2018)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. CoRR (2018)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. CoRR (2018)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. ECML/PKDD (3) (2018)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. CoRR (2017)
Matthew Garvey, Nilaksh Das, Jiaxing Su, Meghna Natraj, Bhanu Verma
PASSAGE: A Travel Safety Assistant with Safe Path Recommendations for Pedestrians. IUI Companion (2016)