4 papers · 1 filter
Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation
Xiaosen Wang, Zhijin Ge, Bohan Liu +5
Adversarial transferability refers to the capacity of adversarial examples generated on the surrogate model to deceive alternate, unexposed victim models. This property eliminates…
Security Risk of Misalignment between Text and Image in Multi-modal Model
Xiaosen Wang, Zhijin Ge, Shaokang Wang
Despite the notable advancements and versatility of multi-modal diffusion models, such as text-to-image models, their susceptibility to adversarial inputs remains underexplored. Co…
Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning
Shaojie Zhang, Pei Fu, Ruoceng Zhang +8
Autonomous graphical user interface (GUI) agents rely on accurate GUI grounding, which maps language instructions to on-screen coordinates, to execute user commands. However, curre…
Attention! Your Vision Language Model Could Be Maliciously Manipulated
Xiaosen Wang, Shaokang Wang, Zhijin Ge +2
Large Vision-Language Models (VLMs) have achieved remarkable success in understanding complex real-world scenarios and supporting data-driven decision-making processes. However, VL…