5 papers
Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts
Songping Wang, Qinglong Liu, Yueming Lyu +3
Mixture-of-Experts (MoE) has demonstrated strong performance in video understanding tasks, yet its adversarial robustness remains underexplored. Existing attack methods often treat…
RunawayEvil: Jailbreaking the Image-to-Video Generative Models
Songping Wang, Rufan Qian, Yueming Lyu +5
Image-to-Video (I2V) generation synthesizes dynamic visual content from image and text inputs, providing significant creative control. However, the security of such multimodal syst…
An Effective End-to-End Solution for Multimodal Action Recognition
Songping Wang, Xiantao Hu, Yueming Lyu +1
Recently, multimodal tasks have strongly advanced the field of action recognition with their rich multimodal information. However, due to the scarcity of tri-modal data, research o…
Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis
Songping Wang, Yueming Lyu, Shiqi Liu +4
The rise of customized diffusion models has spurred a boom in personalized visual content creation, but also poses risks of malicious misuse, severely threatening personal privacy…
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Songping Wang, Xinquan Yue, Yueming Lyu +1
Kolmogorov-Arnold Networks (KANs) have emerged as a transformative model paradigm, significantly impacting various fields. However, their adversarial robustness remains less undere…