Investigating the Important Temporal Modulations for Deep-Learning-Based Speech Activity Detection. - Tyler Vuong; Nikhil Madaan; Rohan Panda; Richard M. Stern (SLT, 2022)

pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning. - Taejin Kim; Shubhranshu Singh; Nikhil Madaan; Carlee Joe-Wong (CoRR, 2022)

Characterizing Internal Evasion Attacks in Federated Learning. - Taejin Kim; Shubhranshu Singh; Nikhil Madaan; Carlee Joe-Wong (AISTATS, 2023)

Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning. - Taejin Kim; Jiarui Li; Shubhranshu Singh; Nikhil Madaan; Carlee Joe-Wong (CoRR, 2023)

pFedDef: Characterizing evasion attack transferability in federated learning. - Taejin Kim; Shubhranshu Singh; Nikhil Madaan; Carlee Joe-Wong (Softw. Impacts, 2023)

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent. - Jianing Yang; Xuweiyi Chen; Shengyi Qian 001; Nikhil Madaan; Madhavan Iyengar; David F. Fouhey; Joyce Chai (ICRA, 2024)

LEARNER: Learning Granular Labels from Coarse Labels using Contrastive Learning. - Gautam Rajendrakumar Gare; Jana Armouti; Nikhil Madaan; Rohan Panda; Tom Fox; Laura Hutchins; Amita Krishnan; Ricardo Luis Rodriguez; Bennett P. deBoisblanc; Deva Ramanan; John M. Galeotti (CoRR, 2024)

3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination. - Jianing Yang; Xuweiyi Chen; Nikhil Madaan; Madhavan Iyengar; Shengyi Qian 001; David F. Fouhey; Joyce Chai (CVPR, 2025)