Abstract: In this paper, we focus on the adversarial machine learning in financial services. In recent years, an attack pattern of false data injection against AI computing has gradually emerged in ...
CrashFix crashes browsers to coerce users into executing commands that deploy a Python RAT, abusing finger.exe and portable Python to evade detection and persist on high‑value systems.
Corresponding repo for "Busting the Ballot: Voting Meets Adversarial Machine Learning". We show the security risk associated with using machine learning classifiers in United States election ...
Add a description, image, and links to the generative-adversarial-imitation-learning topic page so that developers can more easily learn about it.
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Abstract: Adversarial Machine Learning (AML) is a fascinating and fast-growing research direction and area of practical interest. Deployed Machine Learning (ML) models are known to be vulnerable to ...
If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...
ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...