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20242026
most citedSceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments

1 citations · 1 across the 5 of their papers we have counts for

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cs.SE2025

PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design

Ruozhao Yang, Mingfei Cheng, Gelei Deng +3

Penetration testing is essential for assessing and strengthening system security against real-world threats, yet traditional workflows remain highly manual, expertise-intensive, an…

cs.CR2025

Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning

Xianglin Yang, Gelei Deng, Jieming Shi +2

Large language models (LLMs) are vital for a wide range of applications yet remain susceptible to jailbreak threats, which could lead to the generation of inappropriate responses.…