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Nikhil Madaan
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2020 – today
- 2024
- [c3]Jianing Yang, Xuweiyi Chen, Shengyi Qian, Nikhil Madaan, Madhavan Iyengar, David F. Fouhey, Joyce Chai:
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent. ICRA 2024: 7694-7701 - [i4]Jianing Yang, Xuweiyi Chen, Nikhil Madaan, Madhavan Iyengar, Shengyi Qian, David F. Fouhey, Joyce Chai:
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination. CoRR abs/2406.05132 (2024) - 2023
- [j1]Taejin Kim
, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
pFedDef: Characterizing evasion attack transferability in federated learning. Softw. Impacts 15: 100469 (2023) - [c2]Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
Characterizing Internal Evasion Attacks in Federated Learning. AISTATS 2023: 907-921 - [i3]Jianing Yang, Xuweiyi Chen, Shengyi Qian, Nikhil Madaan, Madhavan Iyengar, David F. Fouhey, Joyce Chai:
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent. CoRR abs/2309.12311 (2023) - [i2]Taejin Kim, Jiarui Li, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning. CoRR abs/2310.11594 (2023) - 2022
- [c1]Tyler Vuong, Nikhil Madaan, Rohan Panda, Richard M. Stern:
Investigating the Important Temporal Modulations for Deep-Learning-Based Speech Activity Detection. SLT 2022: 525-531 - [i1]Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning. CoRR abs/2209.08412 (2022)
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last updated on 2024-08-20 23:03 CEST by the dblp team
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