AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A lightweight hierarchical attribution model is trained that predicts safety violations and attributes them to contributing user turns and token spans and preserves low false positive rates on benign conversations with high-risk vocabulary.
FedMAST is proposed, a Federated Multi-Axis Structural Tracing defense for backdoor detection in federated learning that uses squeeze-pair coherence scoring to expose coupled feature distortions and signed spectral-drift tracking to reveal persistent directional changes over time.
The Krum-Proxy attack is introduced, a selection-aware backdoor injection strategy that consistently bypasses Byzantine-robust aggregation and constructs adversarial updates that are not only similar to benign updates but are also optimized to lie in regions of the update space that are favored during aggregation.
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