VentureBeat

Adversarial training reduces safety of neural networks in robots: Research

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. There’s a growing interest in employing autonomous mobile ...
VentureBeat

Adversarial attacks on AI models are rising: what should you do now?

Adversarial attacks on machine learning (ML) models are growing in intensity, frequency and sophistication with more enterprises admitting they have experienced an AI-related security incident. AI's ...
ascopubs.org

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology

HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...
EurekAlert!

Fair adversarial training by identifying and augmenting hard examples

Adversarial training has been widely acknowledged as the most effective defense against adversarial attacks. However, recent research has demonstrated that a large discrepancy exists in the class-wise ...
Flightglobal

Low-boom supersonic UAV latest USAF effort to boost adversarial air training

In what is the latest example of the US Air Force (USAF) boosting funding for adversarial training, the service granted a contract to supersonic airliner developer Exosonic to design and build a ...
Science Daily

New method for comparing neural networks exposes how artificial intelligence works

A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks ...