PASSAGE: A Travel Safety Assistant with Safe Path Recommendations for Pedestrians. - Matthew Garvey; Nilaksh Das; Jiaxing Su; Meghna Natraj; Bhanu Verma (IUI Companion, 2016)

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)

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 (KDD, 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 (ECML/PKDD (3), 2018)

GOGGLES: Automatic Training Data Generation with Affinity Coding. - Nilaksh Das; Sanya Chaba; Sakshi Gandhi; Duen Horng Chau; Xu Chu 002 (CoRR, 2019)

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 (CHI Extended Abstracts, 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 (CHI Extended Abstracts, 2020)

GOGGLES: Automatic Image Labeling with Affinity Coding. - Nilaksh Das; Sanya Chaba; Renzhi Wu; Sakshi Gandhi; Duen Horng Chau; Xu Chu 002 (SIGMOD Conference, 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 (IEEE VIS (Short Papers), 2020)

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 (AAAI, 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 (CHI Extended Abstracts, 2021)

Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning. - Nilaksh Das; Sravan Bodapati; Monica Sunkara; Sundararajan Srinivasan; Duen Horng Chau (Interspeech, 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)

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 (CVPR, 2022)

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. - Nilaksh Das; Sheng-Yun Peng; Duen Horng Chau (ECCV Workshops (1), 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 (ICASSP, 2022)

Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. - Nilaksh Das; Polo Chau (INTERSPEECH, 2022)

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Judy Hoffman; Duen Horng Chau (CoRR, 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)

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 002 (ACM J. Data Inf. Qual., 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)

Understanding, Fortifying and Democratizing AI Security. - Nilaksh Das (2022)

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Kevin Li; Judy Hoffman; Duen Horng Chau (CIKM, 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 (ICASSP, 2023)

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; et al. (ACL (Findings), 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 001; Sai Muralidhar Jayanthi; Xilai Li; Karel Mundnich; et al. (CoRR, 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; et al. (CoRR, 2024)

RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration. - Young-Min Cho; Raphael Shu; Nilaksh Das; Tamer Alkhouli; Yi-An Lai; Jason Cai; Monica Sunkara; Yi Zhang (CoRR, 2024)

Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications. - Raphael Shu; Nilaksh Das; Michelle Yuan; Monica Sunkara; Yi Zhang (CoRR, 2024)

Zero-resource Speech Translation and Recognition with LLMs. - Karel Mundnich; Xing Niu 001; Prashant Mathur; Srikanth Ronanki; Brady Houston; Veera Raghavendra Elluru; Nilaksh Das; Zejiang Hou; Goeric Huybrechts; Anshu Bhatia; Daniel Garcia-Romero; Kyu J. Han; et al. (ICASSP, 2025)