most citedAugmenting Greybox Fuzzing with Generative AI

16 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

No-Box Vulnerability Analysis: Description-only Detection of Indirect Prompt Injection Vulnerabilities in MCP Servers

Zehua Zhang, Jie Hu, Pratham Hegde +14

Conventional vulnerability analysis relies on either system access or dynamic interaction, all of which may be unavailable to third-party analysts auditing closed-source, remotely…

cs.CL2026

Oracle Gap and Signal Fidelity: A Fixed-Pool Diagnostic for Test-Time Collaboration

Jie Hu

Test-time collaboration, including self-consistency, best-of-N selection, critic models, and verifier pipelines, is often credited with broadly improving LLM reasoning, yet its gai…

cs.CR2026

SeedSmith: LLM-Driven Seed Synthesis for Directed Fuzzing

Junmin Zhu, Siyu Liu, Jie Hu +7

Directed fuzzing steers fuzzers toward user-defined sink functions to identify vulnerabilities, but it frequently fails to trigger crashes even after long campaigns. We identify tw…

cs.CR2026★ 1 cited

Pushan: Trace-Free Deobfuscation of Virtualization-Obfuscated Binaries

Ashwin Sudhir, Zion Leonahenahe Basque, Wil Gibbs +9

In the ever-evolving battle against malware, binary obfuscation techniques are a formidable barrier to effective analysis by both human security analysts and automated systems. In…

cs.CR2023★ 16 cited

Augmenting Greybox Fuzzing with Generative AI

Jie Hu, Qian Zhang, Heng Yin

Real-world programs expecting structured inputs often has a format-parsing stage gating the deeper program space. Neither a mutation-based approach nor a generative approach can pr…