FreeMOCA enables memory-free continual learning for malicious code analysis via adaptive layer-wise interpolation between warm-started task optima, outperforming baselines on EMBER and AZ benchmarks with up to 42% accuracy gains.
Loss surfaces, mode connectivity, and fast ensembling of dnns.Advances in Neural Information Processing Systems (NeurIPS)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis
FreeMOCA enables memory-free continual learning for malicious code analysis via adaptive layer-wise interpolation between warm-started task optima, outperforming baselines on EMBER and AZ benchmarks with up to 42% accuracy gains.