3 papers
cs.AI2026
Conceal, Reconstruct, Jailbreak: Exploiting the Reconstruction-Concealment Tradeoff in MLLMs
Md Farhamdur Reza, Richeng Jin, Tianfu Wu +1
Intent-obfuscation-based jailbreak attacks on multimodal large language models (MLLMs) transform a harmful query into a concealed multimodal input to bypass safety mechanisms. We s…
cs.CV2025
GSBA: - Geometric Score-based Black-box Attack
Md Farhamdur Reza, Richeng Jin, Tianfu Wu +1
Existing score-based adversarial attacks mainly focus on crafting -1 adversarial examples against classifiers with single-label classification. Their attack success rate and q…
cs.CR2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks
Thomas Paniagua, Ryan Grainger, Tianfu Wu
The adversarial vulnerability of Deep Neural Networks (DNNs) has been well-known and widely concerned, often under the context of learning top- attacks (e.g., fooling a DNN to c…