3 accepted papers
To address UAV obstacle avoidance under motion blur, we propose Feature-Domain Motion Blur Decoupling Planner (MBD-Planner), a real-time feature-domain motion blur decoupling framework that jointly disentangles blurred visual features and optimizes trajectories in an end-to-end manner. Unlike method
Recent work shows that even safety aligned large language models (LLM) can be pushed into unsafe behavior by carefully crafted jailbreak prompts. Existing jailbreaking attack methods often rely on disfluent or incoherent prompts, which limit their success and make them easy to detect. We introduce S…
Adversarial examples reveal critical vulnerabilities in deep neural networks by exploiting their sensitivity to imperceptible input perturbations. While adversarial training remains the predominant defense strategy, it often incurs significant computational cost and may compromise clean-data accurac…