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Fujian University of Technology
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Adversaries can manipulate AI-generated financial advice without detection, amplifying bias while bypassing compliance checks.
LLM watermarks, meant to prove AI authorship, can be silently amplified by attackers who compromise the pseudo-random number generator, making models appear to generate more watermarked text than they actually do.
