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2 posts

• Trojan Triggers in Multi-Modal Models: How Visual Backdoors Activate Hidden Behaviors in Vision-Language Systems

  A small adversarial patch embedded in an image — invisible or benign-looking to humans — can reliably trigger hidden behaviors when a vision-language model processes it. As VLMs get deployed in agentic pipelines, visual backdoors become a practical production threat.

  Jul 4, 2026 backdoor-attacks vision-language-models multimodal adversarial-ml supply-chain-security agentic-ai trojan

• Backdoor Attacks in Foundation Models: Sleeper Triggers That Survive Fine-Tuning

  Pre-trained LLMs can be trojaned at the foundation stage, with adversarial triggers embedded in weights that persist through downstream fine-tuning and RLHF safety training. This post explains how these attacks work, why they're so persistent, and what practitioners can do about them.

  Jul 3, 2026 backdoor-attacks supply-chain-security adversarial-ml fine-tuning model-security trojan