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Found 3 papers, 1 papers with code
ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection
We present ANUBIS, a highly effective machine learning-based APT detection system.
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
Objectives: This paper develops two algorithms to achieve federated generalized linear mixed effect models (GLMM), and compares the developed model's outcomes with each other, as well as that from the standard R package (`lme4').
Analyzing the Usefulness of the DARPA OpTC Dataset in Cyber Threat Detection Research
In this work, we analyze the usefulness of the recently introduced DARPA Operationally Transparent Cyber (OpTC) dataset in this regard.
Cryptography and Security
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