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ORCIDNilaksh Das
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2020 – today
- 2024
[c17]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: 10018-10035- [i18]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 abs/2405.08295 (2024) - [i17]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 abs/2405.08317 (2024) - 2023
- [c16]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: 2044-2054 - [c15]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: 1-5 - [i16]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 abs/2305.03837 (2023) - 2022
- [b1]Nilaksh Das:
Understanding, Fortifying and Democratizing AI Security. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [j3]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): 15:1-15:23 (2022) - [j2]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): 813-823 (2022) - [c14]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: 21452-21459 - [c13]Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau:
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. ECCV Workshops (1) 2022: 449-466 - [c12]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: 7887-7891 - [c11]Nilaksh Das, Polo Chau:
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. INTERSPEECH 2022: 3839-3843 - [i15]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 abs/2203.16475 (2022) - [i14]Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau:
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. CoRR abs/2204.00734 (2022) - [i13]Nilaksh Das, Duen Horng Chau:
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. CoRR abs/2204.02381 (2022) - [i12]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 abs/2210.12492 (2022) - 2021
- [j1]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): 1396-1406 (2021) - [c10]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: 16094-16096 - [c9]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: 458:1-458:7 - [c8]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: 1314-1318 - [i11]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 abs/2101.10586 (2021) - [i10]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 abs/2103.16435 (2021) - [i9]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 abs/2108.12931 (2021) - 2020
- [c7]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: 1-7 - [c6]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: 1-7 - [c5]Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference 2020: 1717-1732 - [c4]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: 271-275 - [i8]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 abs/2001.02004 (2020) - [i7]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 abs/2001.07769 (2020) - [i6]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 abs/2004.15004 (2020) - [i5]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 abs/2009.02608 (2020)
2010 – 2019
- 2019
- [i4]Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR abs/1903.04552 (2019) - 2018
- [c3]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: 196-204 - [c2]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: 677-681 - [i3]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 abs/1802.06816 (2018) - [i2]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 abs/1805.11852 (2018) - 2017
- [i1]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 abs/1705.02900 (2017) - 2016
- [c1]Matthew Garvey, Nilaksh Das, Jiaxing Su, Meghna Natraj, Bhanu Verma:
PASSAGE: A Travel Safety Assistant with Safe Path Recommendations for Pedestrians. IUI Companion 2016: 84-87
Coauthor Index
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last updated on 2024-11-06 21:33 CET by the dblp team
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