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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

T. S. Zaman

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Book Open access Sep 2026

VibeCheck: Assessing the Quality of LLM-Generated Unit Tests: A Multi-agent Empirical Study across Heterogeneous Repositories

VibeCheck provides a reliability-oriented framework for evaluating LLM-generated tests beyond pass/fail outcomes, and shows a clear execution-adequacy gap: generated tests are often runnable but frequently lack strong assertions and meaningful behavioral coverage.

Anika Tabassum, Mushahid Intesum, Md. Fahim Arefin et al. · 0 citations
Preprint Aug 2026

Adversarial Attacks in Multi-Agent LLM Pipelines: Unveiling Structural Vulnerabilities in Agentic AI Architectures

It is argued that adversarial vulnerability stems from the absence of boundary verification, a security primitive that enforces explicit validation of data as it crosses inter-agent boundaries, including content, identity, execution intent, and state integrity.

Faisal Haque Bappy, Tahrim Hossain, T. S. Zaman et al. · 0 citations

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