Nilaksh Das - RankMe

43 papers A* 3A 3Misc 3Journal 24Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Zero-resource Speech Translation and Recognition with LLMs. ICASSP Karel Mundnich, Xing Niu, Prashant Mathur, Srikanth Ronanki, Brady Houston, Veera Raghavendra Elluru, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Anshu Bhatia, Daniel Garcia-Romero, Kyu J. Han, Katrin Kirchhoff
2024	J	`jnl`	RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration. CoRR Young-Min Cho, Raphael Shu, Nilaksh Das, Tamer Alkhouli, Yi-An Lai, Jason Cai, Monica Sunkara, Yi Zhang
2024	—	`conf`	SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. ACL (Findings) 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
2024	J	`jnl`	SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models. CoRR 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
2024	J	`jnl`	SpeechVerse: A Large-scale Generalizable Audio Language Model. CoRR 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
2024	J	`jnl`	Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications. CoRR Raphael Shu, Nilaksh Das, Michelle Yuan, Monica Sunkara, Yi Zhang
2024	J	`jnl`	Zero-resource Speech Translation and Recognition with LLMs. CoRR Karel Mundnich, Xing Niu, Prashant Mathur, Srikanth Ronanki, Brady Houston, Veera Raghavendra Elluru, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Anshu Bhatia, Daniel Garcia-Romero, Kyu J. Han, Katrin Kirchhoff
2023	A	`conf`	Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
2023	J	`jnl`	Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation. CoRR Nilaksh Das, Monica Sunkara, Sravan Bodapati, Jinglun Cai, Devang Kulshreshtha, Jeff Farris, Katrin Kirchhoff
2023	Misc	`conf`	Mask the Bias: Improving Domain-Adaptive Generalization of CTC-Based ASR with Internal Language Model Estimation. ICASSP Nilaksh Das, Monica Sunkara, Sravan Bodapati, Jinglun Cai, Devang Kulshreshtha, Jeff Farris, Katrin Kirchhoff
2022	J	`jnl`	A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2022	J	`jnl`	ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
2022	A*	`conf`	DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors. CVPR Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau
2022	A	`conf`	Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. INTERSPEECH Nilaksh Das, Polo Chau
2022	J	`jnl`	Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. CoRR Nilaksh Das, Duen Horng Chau
2022	Misc	`conf`	Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities. ICASSP Nilaksh Das, Duen Horng Chau, Monica Sunkara, Sravan Bodapati, Dhanush Bekal, Katrin Kirchhoff
2022	J	`jnl`	NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau
2022	J	`jnl`	NeuroMapper: In-browser Visualizer for Neural Network Training. CoRR Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau
2022	—	`conf`	SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. ECCV Workshops (1) Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
2022	J	`jnl`	SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. CoRR Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
2022	—	`—`	Understanding, Fortifying and Democratizing AI Security. Nilaksh Das
2021	A	`conf`	Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning. Interspeech Nilaksh Das, Sravan Bodapati, Monica Sunkara, Sundararajan Srinivasan, Duen Horng Chau
2021	J	`jnl`	CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
2021	—	`conf`	EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CHI Extended Abstracts Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
2021	J	`jnl`	EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CoRR Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
2021	J	`jnl`	NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
2021	A*	`conf`	SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. AAAI Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
2021	J	`jnl`	SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. CoRR Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
2020	—	`conf`	Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. IEEE VIS (Short Papers) Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau
2020	J	`jnl`	Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. CoRR Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020	—	`conf`	CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	J	`jnl`	CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	J	`jnl`	CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	—	`conf`	GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2020	—	`conf`	Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CHI Extended Abstracts Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020	J	`jnl`	Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CoRR Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2019	J	`jnl`	GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2018	—	`conf`	ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. ECML/PKDD (3) Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	J	`jnl`	ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	A*	`conf`	SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. KDD Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018	J	`jnl`	Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
2017	J	`jnl`	Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. CoRR Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau
2016	—	`conf`	PASSAGE: A Travel Safety Assistant with Safe Path Recommendations for Pedestrians. IUI Companion Matthew Garvey, Nilaksh Das, Jiaxing Su, Meghna Natraj, Bhanu Verma