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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Erased but Not Forgotten: How Backdoors Compromise Concept Erasure

    Researchers have identified a significant vulnerability in concept erasure techniques designed for text-to-image diffusion models, termed the Erasure Evasion Backdoor (EEB). This backdoor allows adversaries to embed a hidden trigger linked to a concept slated for removal, ensuring that harmful content associated with that concept can still be generated even after erasure attempts. The EEB was shown to be effective across multiple state-of-the-art erasure methods, leading to substantial success rates in generating unwanted outputs, including celebrity likenesses and explicit imagery. AI

    IMPACT Highlights a critical flaw in AI safety mechanisms, necessitating new methods to ensure genuine concept removal and prevent misuse.