arXiv (All)
open access
DistillGuard: Malicious NPM Package Detection and API Attack Chain Analysis via Static Graph and LLM Distillation
The Node.js ecosystem heavily relies on NPM packages, and software supply chain attacks targeting malicious NPM packages are rampant. Malicious code primarily triggers during package installation, import, and runtime. Traditional static analysis fails to understand code semantics; machine learning-b
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
- Defending the Core: A Centrality-Based Protection Strategy for Supply Chain Security in npm Dependency Network#271699
- Practical Source Code Recovery from Binary Functions Using Anchor-Based Retrieval and LLM Reasoning#361503
- When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair#303019
- Revisiting Feedback-Driven LLM Code Repair: A Replication and Exploratory Java Extension#627762
- Operationalizing Supply-Chain Hygiene in Graduate IS Education: A Hands-On Module for Secure Software and AI/ML Pipelines#322155
Record · ID 1076652
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