Abstract: A novel reinforcement learning (RL)-based model-free adaptive control (MFAC) strategy is proposed to address the consensus tracking control issue for multiagent systems subjected to data ...
Abstract: False data injection attacks are commonly used to evade the bad data detector in cyber-physical power systems. This paper proposes an extended attack strategy and a deep reinforcement ...
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In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define ...
Hackers use prompt injection to steal the private data you use in AI. ChatGPT's new Lockdown Mode aims to prevent these attacks. Elevated Risk labels warn you of AI tools and content that could be ...