MeshDNS delivers a cooperative DNS system for constrained IoT that achieves 0.47 ms warm-cache lookups on ESP8266 hardware and isolates Byzantine faults via signed quorum at a 1.3-1.7 s cost.
Aflguard: Byzantine-robust asynchronous federated learning,
4 Pith papers cite this work. Polarity classification is still indexing.
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KingsGuard adds hardware data-flow tracking and checks to TEE enclaves to prevent sensitive data leakage from vulnerabilities while supporting intentional declassification.
Cybersecurity's scale, adversaries, labeling issues, and operational demands make it the superior test-case for general AI progress over NLP or computer vision.
A literature survey synthesizes 119 studies on AI-driven alert screening into a four-stage taxonomy of filtering, triage, correlation, and generative augmentation while identifying gaps in deployment realism and robustness.
citing papers explorer
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MeshDNS: A Cooperative DNS Resolution Framework for Resource-Constrained IoT Networks
MeshDNS delivers a cooperative DNS system for constrained IoT that achieves 0.47 ms warm-cache lookups on ESP8266 hardware and isolates Byzantine faults via signed quorum at a 1.3-1.7 s cost.
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KingsGuard: Enclave Data Protection Under Real-World TEE Vulnerabilities
KingsGuard adds hardware data-flow tracking and checks to TEE enclaves to prevent sensitive data leakage from vulnerabilities while supporting intentional declassification.
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Cybersecurity is the True Frontier for Generative AI Success or Failure
Cybersecurity's scale, adversaries, labeling issues, and operational demands make it the superior test-case for general AI progress over NLP or computer vision.
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AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey
A literature survey synthesizes 119 studies on AI-driven alert screening into a four-stage taxonomy of filtering, triage, correlation, and generative augmentation while identifying gaps in deployment realism and robustness.