ReLATE+ detects adversarial attacks in time-series data, classifies attack family, and selects a resilient model via dataset similarity, reporting near-Oracle accuracy with roughly 78% lower overhead.
Cyberattack event logs classification using deep learning with semantic feature analysis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.CR 1years
2025 1verdicts
REJECT 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
ReLATE+ detects adversarial attacks in time-series data, classifies attack family, and selects a resilient model via dataset similarity, reporting near-Oracle accuracy with roughly 78% lower overhead.