SISA training lets RL ransomware detectors forget selected samples by retraining one shard, with under 0.05% F1 drop and much lower retraining cost than full retraining.
Lifecycle Management of Optical Networks With Dynamic -Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach
2 Pith papers cite this work, alongside 10 external citations. Polarity classification is still indexing.
2
Pith papers citing it
10
external citations · external index
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proposes DCX architecture with digital twins for all-photonics networks-as-a-service to create virtual large-scale data centers from distributed sites.
citing papers explorer
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Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection
SISA training lets RL ransomware detectors forget selected samples by retraining one shard, with under 0.05% F1 drop and much lower retraining cost than full retraining.
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Leveraging Digital Twin Technologies: All-Photonics Networks-as-a-Service for Data Center Xchange in the Era of AI [Invited Tutorial]
Proposes DCX architecture with digital twins for all-photonics networks-as-a-service to create virtual large-scale data centers from distributed sites.