Avast-CTU Public CAPE Dataset

1 code implementation • 6 Sep 2022 • Branislav Bosansky, Dominik Kouba, Ondrej Manhal, Thorsten Sick, Viliam Lisy, Jakub Kroustek, Petr Somol

The benefit of using dynamic sandboxes is the realistic simulation of file execution in the target machine and obtaining a log of such execution.

Malware Analysis Malware Detection

Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data

no code implementations • 4 Aug 2022 • Tomáš Pevný, Viliam Lisý, Branislav Bošanský, Petr Somol, Michal Pěchouček

Learning from raw data input, thus limiting the need for feature engineering, is a component of many successful applications of machine learning methods in various domains.

Feature Engineering Multiple Instance Learning

Discriminative models for multi-instance problems with tree-structure

3 code implementations • 7 Mar 2017 • Tomas Pevny, Petr Somol

We show the classifier to perform with very high precision, while the learned traffic patterns can be interpreted as Indicators of Compromise.

Using Neural Network Formalism to Solve Multiple-Instance Problems

3 code implementations • 23 Sep 2016 • Tomas Pevny, Petr Somol

Many objects in the real world are difficult to describe by a single numerical vector of a fixed length, whereas describing them by a set of vectors is more natural.

Multiple Instance Learning