AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Embodied agents powered by large language models and vision-language models are increasingly deployed in physical environments, but jailbreak attacks can induce these agents to perform physically harmful actions. A growing number of guardrail methods have been proposed to intercept dangerous behavior before it is execu...
DeLLMGuard is proposed, a smart contract deployment framework that defends against malicious LLM-based vulnerability scanning while preserving public source disclosure and authorized auditing and outperforms the closed-source bytecode baseline on the primary non-proxy set.
This work proposes ReDiR, a generation-time defense that conditions action generation on trajectory-level security evidence and reduces attack success rates to below 8%, transfers to unseen tool domains, and preserves benign fidelity with low computational overhead.
These findings reveal substantial hidden dependencies among seemingly independent API resellers, which can create a large potential blast radius, where a confidentiality or integrity failure along a common upstream path may affect users across multiple downstream resellers.
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