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20242026
most citedUnveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack

10 citations · 23 across the 15 of their papers we have counts for

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cs.CR2026

HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors

Jingxiao Yang, Ping He, Tianyu Du +2

Recent advances in software vulnerability detection have been driven by Language Model (LM)-based approaches. However, these models remain vulnerable to adversarial attacks that ex…