arXiv (All)
open access
Robustness and Trade-offs for Code LLMs on Protected Code
Code large language models (LLMs) are increasingly used on software artifacts that may be intentionally obfuscated for intellectual-property protection, reverse-engineering resistance, or controlled access. In reverse engineering and security analysis, deobfuscation is commonly treated as the prepro
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
- The Illusion of Secure LLM Code: Closing the Security Gap via Iterative Reprompting#405561
- Insecure Coding Preferences in Long-Term Memory: Security Risks for LLM-based Code Generation#386774
- CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation#924903
- CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation#920669
- Practical Source Code Recovery from Binary Functions Using Anchor-Based Retrieval and LLM Reasoning#361503
Record · ID 927522
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