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Nikhil Madaan
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Llm-grounder: Open-vocabulary 3d visual grounding with large language model as an agent
J Yang, X Chen, S Qian, N Madaan, M Iyengar, DF Fouhey, J Chai
2024 IEEE International Conference on Robotics and Automation (ICRA), 2023
652023
Characterizing internal evasion attacks in federated learning
T Kim, S Singh, N Madaan, C Joe-Wong
International Conference on Artificial Intelligence and Statistics, 907-921, 2023
17*2023
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
J Yang, X Chen, N Madaan, M Iyengar, S Qian, DF Fouhey, J Chai
OWA @ NeurIPS 2024, 2024
42024
pFedDef: Characterizing evasion attack transferability in federated learning
T Kim, S Singh, N Madaan, C Joe-Wong
Software Impacts 15, 100469, 2023
42023
Investigating the important temporal modulations for deep-learning-based speech activity detection
T Vuong, N Madaan, R Panda, RM Stern
2022 IEEE Spoken Language Technology Workshop (SLT), 525-531, 2023
22023
LEARNER: Learning Granular Labels from Coarse Labels using Contrastive Learning
G Gare, J Armouti, N Madaan, R Panda, T Fox, L Hutchins, A Krishnan, ...
arXiv preprint arXiv:2411.01144, 2024
2024
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning
T Kim, J Li, S Singh, N Madaan, C Joe-Wong
arXiv preprint arXiv:2310.11594, 2023
2023
Characterizing internal evasion attacks in federated learning
T Kim, S Singh, N Madaan, C Joe-Wong
International Conference on Artificial Intelligence and Statistics, 907-921, 2023
2023
Contrastive Multimodal Text Generation for E-Commerce Brand Advertising
N Madaan, KR Kesari, M Verma, S Mishra, T Steiner
KDD, 2023, 2023
2023
POSTER: GREY-BOX DEFENSE FOR PERSONALIZED FEDERATED LEARNING
T Kim, N Madaan, S Singh, C Joe-Wong
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