4 min readGuide
Retrieval-Augmented Generation for Cybersecurity Workflows
RAG for cybersecurity: hybrid retrieval, current sources, permissions and evaluation. Diagnose retrieval and generation failures.
Research Notes on Federated Learning, Cybersecurity and Cyberdefense
Research notes and technical guides on federated learning, distributed AI, cyberdefense, trustworthy systems, and privacy-preserving platforms.
21 articles. Page 2 of 4.
4 min readResearch note
GraphRAG for Cyber Threat Intelligence
GraphRAG for threat intelligence: entities, relationships, STIX, provenance and evaluation against passage-based retrieval.
3 min readResearch note
Parametric RAG: Moving Security Knowledge Into the Model
P-RAG versus contextual RAG: parametric memory, updates, permissions and provenance for cybersecurity knowledge.
3 min readGuide
Mixture of Experts in LLMs: Capacity Through Selective Routing
How MoE LLMs work: routing, active parameters, memory, load balance and latency and quality evaluation across languages.
3 min readResearch note
D-MoE: Distributed Mixture of Experts for Edge LLMs
Distributed MoE at the edge: expert placement, critical-path latency, bandwidth, activations and failure recovery.
3 min readGuide
Golden Sets for LLM Evaluation: Small, Curated and Difficult to Cheat
Build golden sets for LLMs and RAG with examples, adjudication, leakage-aware splits and bilingual security cases.