Gaurav Bagwe - RankMe

15 papers A* 3C 1Misc 2Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MOBA: A Material-Oriented Backdoor Attack Against LiDAR-Based 3D Object Detection Systems. AAAI Saket Sanjeev Chaturvedi, Gaurav Bagwe, Lan Emily Zhang, Pan He, Xiaoyong Yuan
2025	A*	`conf`	AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt. EMNLP Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Xiaoyong Yuan
2025	J	`jnl`	AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt. CoRR Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Xiaoyong Yuan
2025	J	`jnl`	MOBA: A Material-Oriented Backdoor Attack against LiDAR-based 3D Object Detection Systems. CoRR Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Pan He, Xiaoyong Yuan
2025	J	`jnl`	Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease. CoRR Harsh Ravivarapu, Gaurav Bagwe, Xiaoyong Yuan, Chunxiu Yu, Lan Zhang
2025	Misc	`conf`	Siamese: Stealing Fine-Tuned Visual Foundation Models via Diversified Prompting. SEC Madhureeta Das, Gaurav Bagwe, Miao Pan, Kaichen Yang, Xiaoyong (Brian) Yuan, Lan Zhang
2025	A*	`conf`	Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks. EMNLP Gaurav Bagwe, Saket S. Chaturvedi, Xiaolong Ma, Xiaoyong Yuan, Kuang-Ching Wang, Lan Zhang
2025	J	`jnl`	Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks. CoRR Gaurav Bagwe, Saket S. Chaturvedi, Xiaolong Ma, Xiaoyong Yuan, Kuang-Ching Wang, Lan Zhang
2024	—	`conf`	Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning. MobileCloud Jessica Mehregan, Xiaoyong Yuan, Gaurav Bagwe, Jacob Jackson, Ezedin Mohammed, Lan Zhang, Chunxiu Yu
2023	J	`jnl`	Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning. CoRR Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang
2023	—	`conf`	Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks. VTC Fall Fangzhou Zhao, Gaurav Bagwe, Ezedin Mohammed, Lei Feng, Lan Zhang, Yao Sun
2023	C	`conf`	Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. ICMLA Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang
2023	—	`conf`	RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. MOST Gaurav Bagwe, Xiaoyong Yuan, Xianhao Chen, Lan Zhang
2022	Misc	`conf`	Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. SEC Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang
2022	J	`jnl`	Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. CoRR Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang