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Viewing the field through this developmental lens, this survey provides a comprehensive synthesis of existing work, an insightful narrative of its trajectory, and a clear roadmap for future innovation in responsible, effective, and human-centered AI for mental healthcare.
Differential-privacy federated learning (DP-FL) has emerged as a promising paradigm capable of mitigating the inherent threat of traditional FL architectures that are vulnerable to inferential attacks due to the frequent exchange and updating of model parameters. However, existing DP-FL frameworks often assume that the...
Convergent Detour Hijacking is introduced, a text-only, runtime-independent attack that couples selection manipulation, malicious skill instructions, and tool-chain resource amplification largely separately and evaluates it across multiple LLM backends and 491 held-out tasks under single-task and multi-turn conditions.
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