Author

Zi-Yang Li

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Preprint Oct 2026

Discovery or Memorization? A Faithful Benchmark for Real-World Business-Logic Vulnerability Discovery

The rapid advancement of cybersecurity agents in vulnerability discovery has increased the need for benchmarks that evaluate their capabilities accurately. However, synthetic benchmarks lack realism, real-life benchmarks are prone to contamination, and many existing benchmarks have already been saturated by current mod...

Rui Yang, Yi-Chao Xu, Zhuo-Hao Zhang et al. · 0 citations

#natural language process... Preprint Oct 2026

Red-TTT: Test-Time Training for Automated Jailbreaking Large Language Models

Large language models remain vulnerable to jailbreaks, and automated red teaming is the standard way to find jailbreaks in large language models at scale. Current methods either draw more samples at test time through search, rewriting, and tree expansion, or train a stronger attacker offline with reinforcement learning...

Tong-Yan Hu, Hao Li, Xiaogeng Liu et al. · 0 citations