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Found 5 papers, 0 papers with code
WannaLaugh: A Configurable Ransomware Emulator -- Learning to Mimic Malicious Storage Traces
Our results show that these models are effective in detecting ransomware, highlighting the practical application of our emulator in developing responsible cybersecurity tools.
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs
In this paper, we present "Graph Feature Preprocessor", a software library for detecting typical money laundering and fraud patterns in financial transaction graphs in real time.
Breadth-first, Depth-next Training of Random Forests
In this paper we analyze, evaluate, and improve the performance of training Random Forest (RF) models on modern CPU architectures.
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
In this work, we propose a novel sampling distribution as an alternative to uniform sampling and prove theoretically that it has a better chance of finding the best configuration in a worst-case setting.
Large-Scale Stochastic Learning using GPUs
In this work we propose an accelerated stochastic learning system for very large-scale applications.
