Gaurav Bagwe

According to our database, Gaurav Bagwe authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MOBA: A Material-Oriented Backdoor Attack Against LiDAR-Based 3D Object Detection Systems.

Saket Sanjeev Chaturvedi, Gaurav Bagwe, Lan Emily Zhang, Pan He, Xiaoyong Yuan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MOBA: A Material-Oriented Backdoor Attack against LiDAR-based 3D Object Detection Systems.

Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Pan He, Xiaoyong Yuan

CoRR, November, 2025

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease.

Harsh Ravivarapu, Gaurav Bagwe, Xiaoyong Yuan, Chunxiu Yu, Lan Zhang

CoRR, July, 2025

Siamese: Stealing Fine-Tuned Visual Foundation Models via Diversified Prompting.

Madhureeta Das, Gaurav Bagwe, Miao Pan, Kaichen Yang, Xiaoyong (Brian) Yuan, Lan Zhang

Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt.

Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Xiaoyong Yuan

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks.

Gaurav Bagwe, Saket S. Chaturvedi, Xiaolong Ma, Xiaoyong Yuan, Kuang-Ching Wang, Lan Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning.

Jessica Mehregan, Xiaoyong Yuan, Gaurav Bagwe, Jacob Jackson, Ezedin Mohammed, Lan Zhang, Chunxiu Yu

Proceedings of the IEEE Intelligent Mobile Computing, 2024

2023

Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning.

Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang

CoRR, 2023

Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks.

Fangzhou Zhao, Gaurav Bagwe, Ezedin Mohammed, Lei Feng, Lan Zhang, Yao Sun

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning.

Gaurav Bagwe, Xiaoyong Yuan, Xianhao Chen, Lan Zhang

Proceedings of the IEEE International Conference on Mobility, 2023

Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning.

Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning.

Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang

CoRR, 2022

Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning.

Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022