arXiv (All)
open access
Beware EviLLM: Enabling Vulnerability Injection via Large Language Models
Advances in large language models (LLMs) have enabled AI-driven code generation from natural language specifications, introducing new attack surfaces for injecting vulnerabilities into software. Prior work has studied this problem only in benign settings where vulnerabilities are introduced inadvert
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Survey on Large Language Models for Code Generation#1135850
- DIG: Oracle-Guided Directed Input Generation for One-Day Vulnerabilities#271724
- Toward Interactive Understanding of Code APIs#1116412
- Trace Grafting: Cross-Model Reasoning in Large Language Model Code Generation#1092500
- Trace Grafting: Cross-Model Reasoning in Large Language Model Code Generation#1092484
Record · ID 1199131
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive