With the increasing capabilities of Large-Language-Models (LLMs) and LLM-based agents, users are increasingly using them to solve everyday problems, such as answering e-mails or providing programming support. Existing work has extensively investigated security and privacy risks, such as prompt injections and the disclo...
Alessandro Pegoraro, Daryan Merx, P. Rieger et al.· 0 citations
This work evaluates Jev, a decision model that instead selects directly from a declared set of candidates and returns a probability for each, against six open-weight autoregressive models and a frontier proprietary model, and builds JevVibe, a diagnosis-guided repair agent that uses predicted CWE labels to repair code...
Arshak Rezvani, Sasha Behrouzi, Ahmad Sadeghi· 0 citations
PRGuard is introduced, an attributable PR security reviewer that constructs candidate vulnerabilities and validates their premises against repository evidence using deterministic, non-executing tools and bounded retrieval and uncovers twelve previously undisclosed, proof-of-concept-backed vulnerabilities.
Zhuo Chen, Bo-Yang Wang, Xi-Yue Zhang et al.· 0 citations
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