CSC identifies backdoored samples via early-epoch latent clustering and conceals them by relabeling to a virtual class, driving attack success rates near zero on benchmarks with little clean accuracy loss.
Milajerdi, Birhanu Eshete, Rigel Gjomemo, and V.N
3 Pith papers cite this work. Polarity classification is still indexing.
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Blockchain alerting protocols achieve asymptotically optimal O(n²) bribery resistance via simultaneous games and timed commitments, with variants trading storage, time, and synchrony assumptions.
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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CSC: Turning the Adversary's Poison against Itself
CSC identifies backdoored samples via early-epoch latent clustering and conceals them by relabeling to a virtual class, driving attack success rates near zero on benchmarks with little clean accuracy loss.
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Resilient Alerting Protocols for Blockchains
Blockchain alerting protocols achieve asymptotically optimal O(n²) bribery resistance via simultaneous games and timed commitments, with variants trading storage, time, and synchrony assumptions.
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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.