Author

Saad Ullah

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#artificial intelligence Preprint Sep 2026

SelfOp: An Optimization Algorithm for Self-Improving Security Agents

LLM agents are increasingly used for security tasks: vulnerability discovery, exploit reproduction, and patch generation. Improving them at the model level demands expert demonstrations or computable rewards, which security tasks rarely offer: traces are costly, failures hard to diagnose, rewards sparse, and non-comput...

Saad Ullah, Yiğitcan Kaya, Christopher Kruegel et al. · 0 citations

Preprint Aug 2026

From Documentation to Zero-day Vulnerabilities: LLM-Driven Fuzzing of JavaScript Engines in PDF Readers

Existing fuzzers for PDF readers rely on simple test cases that involve only individual API calls, leading to limited coverage and potentially missing vulnerabilities that require sequences of API calls. To address these limitations, we propose PDFuzzer, a novel PDF engine fuzzer that automatically generates complex an...

Suyue Guo, Stijn Pletinckx, Tianle Yu et al. · 0 citations