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Ahmad Sadeghi

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#machine learning Preprint Oct 2026

The Innocent Courier: Covert Exfiltration Through Legitimate LLM Web Fetching

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
#artificial intelligence Preprint Sep 2026

JevVibe: Efficient Classification-Guided Secure Code Generation

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
Review Aug 2026

From Verdict to Diagnosis: Attributable Security Review of Pull Requests

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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