AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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EvoHarmBench is presented, the first dynamic adversarial evaluation framework for content moderation systems that employs an iterative optimization loop that evolves evasion strategies at the semantic-cluster level, while simultaneously optimizing for evasion success and human readability.
As large language models are increasingly deployed in real-world systems, safety failures can still lead to harmful outputs and dangerous misuse. We argue that the essence of safety is adversarial: many failures arise not from natural inputs alone, but from strategic attempts to evade model policies and safeguards. How...
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