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Typographic tricks can make harmful content invisible to AI while still being recognized by humans, exposing a major flaw in current moderation systems.
CodeScan achieves 97%+ accuracy in detecting data poisoning attacks in code generation LLMs by identifying structural similarities across generations, even when semantics are expressed in diverse syntactic forms.