5 papers
NonTextual Target Attack
Xinzhe Huang, Wenjing Hu, Tianhang Zheng +6
Existing gradient-based jailbreak attacks on Large Language Models (LLMs) typically optimize adversarial suffixes to align the LLM output with predefined target responses. However,…
Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces
Junlong Liu, Haobo Wang, Weiqi Luo +1
Jailbreak attacks remain a critical threat to the safe deployment of large language models (LLMs). While prior work has primarily studied attacks and defenses at the prompt level,…
Adversarial Attacks Against MLLMs via Progressive Resolution Processing and Adaptive Feature Alignment
Haobo Wang, Xiaorong Ma, Weiqi Luo +2
Adversarial perturbations can mislead Multimodal Large Language Models (MLLMs) recognize a benign image as a specific target object, posing serious risks in safety-critical scenari…
CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models
Renyang Liu, Jiale Li, Jie Zhang +6
Palmprint recognition is deployed in security-critical applications, including access control and palm-based payment, due to its contactless acquisition and highly discriminative r…
Dynamic Jailbreaking Attack
Kedong Xiu, Yunhan Yang, Churui Zeng +7
Existing gradient-based jailbreak attacks typically optimize a fixed-length adversarial suffix toward a predefined target response with a static optimization strategy. However, thi…