π backfill:2025-10-27..2025-10-27 Β· Agentic Fuzzing β 1 paper(s)
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1. Beyond Imprecise Distance Metrics: Trace-Guided Directed Greybox Fuzzing via LLM-Predicted Call Stacks
Authors: Yifan Zhang, Xin Zhang
Venue: arXiv 2025/10
The paper introduces Trace-guided Directed Greybox Fuzzing (TDGF), which utilizes LLMs to predict vulnerability-oriented call stacks for steering the fuzzing process. By replacing imprecise static-analysis distance metrics with these predicted execution traces, the approach significantly improves the efficiency of reaching target code locations.
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π backfill:2025-10-27..2025-10-27 Β· Agentic Fuzzing β 1 paper(s)
1. Beyond Imprecise Distance Metrics: Trace-Guided Directed Greybox Fuzzing via LLM-Predicted Call Stacks
Authors: Yifan Zhang, Xin Zhang
Venue: arXiv 2025/10
Review commands (comment on this issue):
/approve allβ accept all papers/approve 1,3β accept papers 1 and 3/reject 2β discard paper 2/approve 1,3 /reject 2β mixed/edit 1 category=code_generationβ change category before approving/edit 1 venue=ICSE 2026β fix venue