PromptSpy is the first known Android malware to use generative AI at runtime

Researchers have discovered the first known Android malware to use generative AI in its execution flow, using Google's Gemini ...
IEEE

Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective

Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...
Hosted on MSN

Easy LEGO brick machine tutorial

Step by step tutorial on how to make a LEGO brick vending machine using standard LEGO bricks. This video explains the full build process, including the internal layout, simple input system, and manual ...
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Hosted on MSN

LEGO Candy Vending Machine Tutorial

Step by step tutorial on how to build a giant LEGO candy vending machine using standard LEGO bricks. The video shows the complete build process including the dispenser system and internal mechanism.
The Conversation

AI poses risks to national security, elections and healthcare. Here’s how to reduce them

Member of the ICMAT, AXA-ICMAT Chair in Adversarial Risk Analysis and Member of the Spanish Royal Academy of Sciences, Instituto de Ciencias Matemáticas (ICMAT-CSIC) David Rios Insua has received ...
Scientific Research Publishing

Hussain, F., Hassan, S.A., Hussain, R. and Hossain, E. (2020) Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open ...

ABSTRACT: As cloud computing continues to evolve, managing CPU resources effectively has become a critical task for ensuring system performance and efficiency. Traditional CPU resource management ...
Scientific Research Publishing

Standen, M., Kim, J. and Szabo, C. (2025) Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. ACM Computing Surveys, 57, 1-35.

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 ...