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CVPR 2025:

Our papers, titled “SLADE: Shielding against Dual Exploits in Large Vision-Language Models” and “Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks”, are published in the CVPR 2025 Proceedings (Ranked #1 Computer Science Conference, 22.1% acceptance rate).

Served as a reviewer for the CVPR 2025 Workshop on Distillation of Foundation Models for Autonomous Driving (WDFM-AD).