activity
20112024
most citedAMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024

Towards Automatic Hands-on-Keyboard Attack Detection Using LLMs in EDR Solutions

Amit Portnoy, Ehud Azikri, Shay Kels

Endpoint Detection and Remediation (EDR) platforms are essential for identifying and responding to cyber threats. This study presents a novel approach using Large Language Models (…

cs.CR2019★ 2 cited

AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings

Amir Rubin, Shay Kels, Danny Hendler

PowerShell is a command-line shell, supporting a scripting language. It is widely used in organizations for configuration management and task automation but is also increasingly us…

cs.CR2018

Detecting Malicious PowerShell Commands using Deep Neural Networks

Danny Hendler, Shay Kels, Amir Rubin

Microsoft's PowerShell is a command-line shell and scripting language that is installed by default on Windows machines. While PowerShell can be configured by administrators for res…

math.NA2012

Bernstein-type approximation of set-valued functions in the symmetric difference metric

Shay Kels, Nira Dyn

We study the approximation of univariate and multivariate set-valued functions (SVFs) by the adaptation to SVFs of positive samples-based approximation operators for real-valued fu…

math.NA2011★ 1 cited

Subdivision schemes of sets and the approximation of set-valued functions in the symmetric difference metric

Shay Kels, Nira Dyn

In this work we construct subdivision schemes refining general subsets of R^n and study their applications to the approximation of set-valued functions. Differently from previous w…