{"slug": "understanding-and-enhancing-backdoor-persistency-in-llm-agent-post-training", "title": "Understanding and Enhancing Backdoor Persistency in LLM Agent Post-Training", "summary": "Researchers studied a supply-chain threat in which an attacker supplies a third-party model with a backdoor — hidden behavior that produces malicious outputs when a particular input pattern appears — and examined how persistent that backdoor remains when developers adapt the model through benign post-training to build LLM agents. The work focuses on software-engineering settings.", "body_md": "Developers can build LLM agents by adapting third-party models through benign post-training. We study a supply-chain threat in which an attacker supplies a model with a backdoor: hidden behavior that produces malicious outputs when a particular input pattern appears. Focusing on software-engineering", "url": "https://wpnews.pro/news/understanding-and-enhancing-backdoor-persistency-in-llm-agent-post-training", "canonical_source": "https://aiflash.com/news/132518/", "published_at": "2026-10-07 05:00:02+00:00", "updated_at": "2026-10-07 05:18:16.469308+00:00", "lang": "en", "topics": ["ai-safety", "large-language-models", "ai-agents", "ai-research"], "entities": [], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/understanding-and-enhancing-backdoor-persistency-in-llm-agent-post-training", "markdown": "https://wpnews.pro/news/understanding-and-enhancing-backdoor-persistency-in-llm-agent-post-training.md", "text": "https://wpnews.pro/news/understanding-and-enhancing-backdoor-persistency-in-llm-agent-post-training.txt", "jsonld": "https://wpnews.pro/news/understanding-and-enhancing-backdoor-persistency-in-llm-agent-post-training.jsonld"}}