AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Graph2TTP: Knowledge Graph-Guided Paragraph-Level TTPs Identification from Cyber Threat Intelligence Reports
Graph2TTP is proposed, a novel neural-symbolic framework for automated, paragraph-level Tactic, Technique and Procedure (TTP) identification that outperforms state-of-the-art neural baselines and establishes a robust new standard for accurate and interpretable threat intelligence analysis.
BackDFL: A Unified Benchmark For Backdoor Attacks and Defenses In Decentralized Federated Learning
BackDFL is presented, a unified benchmark for systematically evaluating DFL under realistic and adaptive backdoor attacks, and demonstrates that both state-of-the-art Byzantine-robust DFL methods and adapted FL backdoor defenses fail under modest malicious participation rates, especially in heterogeneous settings.