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Diffusion models, despite their generative prowess, may not offer the silver-bullet privacy guarantees often assumed when synthesizing tabular data, as demonstrated by novel membership inference attacks.
Attribution-based XAI, effective for static models, falls apart when explaining agentic AI, highlighting the need for trajectory-level diagnostics to understand failures.
