Nilaksh Das

According to our database, Nilaksh Das authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models.

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

CoRR, 2024

SpeechVerse: A Large-scale Generalizable Audio Language Model.

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

CoRR, 2024

SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Mask the Bias: Improving Domain-Adaptive Generalization of CTC-Based ASR with Internal Language Model Estimation.

Nilaksh Das, Monica Sunkara, Sravan Bodapati, Jinglun Cai, Devang Kulshreshtha, Jeff Farris, Katrin Kirchhoff

Proceedings of the IEEE International Conference on Acoustics, 2023

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Understanding, Fortifying and Democratizing AI Security.

Nilaksh Das

PhD thesis, 2022

NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.

Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau

IEEE Trans. Vis. Comput. Graph., 2022

A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling.

Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu

ACM J. Data Inf. Qual., 2022

NeuroMapper: In-browser Visualizer for Neural Network Training.

Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau

CoRR, 2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau

CoRR, 2022

Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning.

Nilaksh Das, Polo Chau

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities.

Nilaksh Das, Duen Horng Chau, Monica Sunkara, Sravan Bodapati, Dhanush Bekal, Katrin Kirchhoff

Proceedings of the IEEE International Conference on Acoustics, 2022

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning.

Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors.

Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.

Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau

IEEE Trans. Vis. Comput. Graph., 2021

Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning.

Nilaksh Das, Sravan Bodapati, Monica Sunkara, Sundararajan Srinivasan, Duen Horng Chau

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models.

Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models.

Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks.

Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau

Proceedings of the 31st IEEE Visualization Conference, 2020

GOGGLES: Automatic Image Labeling with Affinity Coding.

Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu

Proceedings of the 2020 International Conference on Management of Data, 2020

CNN 101: Interactive Visual Learning for Convolutional Neural Networks.

Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning.

Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

GOGGLES: Automatic Training Data Generation with Affinity Coding.

Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu

CoRR, 2019

2018

ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio.

Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression.

Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression.

Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau

CoRR, 2017

2016

PASSAGE: A Travel Safety Assistant with Safe Path Recommendations for Pedestrians.

Matthew Garvey, Nilaksh Das, Jiaxing Su, Meghna Natraj, Bhanu Verma

Proceedings of the Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016