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 ...
VentureBeat

When is ART useful? When it's IBM's Adversarial Robustness Toolbox for AI

IBM is hoping to advance the state of the art for artificial intelligence (AI) security with an open source project called the Adversarial Robustness Toolbox (ART). As AI usage is growing rapidly, ...
Semiconductor Engineering

Multiexpert Adversarial Regularization For Robust And Data-Efficient Deep Supervised Learning

Deep neural networks (DNNs) can achieve high accuracy when there is abundant training data that has the same distribution as the test data. In practical applications, data deficiency is often a ...
VentureBeat

Adversarial training reduces safety of neural networks in robots: Research

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Watch now. This article is ...
EurekAlert!

Algorithm helps artificial intelligence systems dodge "adversarial" inputs

In a perfect world, what you see is what you get. If this were the case, the job of artificial intelligence systems would be refreshingly straightforward. Take collision avoidance systems in ...
Forbes

This Harvard Professor And His Students Have Raised $14 Million To Make AI Too Smart To Be Fooled By Hackers

Yaron Singer climbed the tenure track ladder to a full professorship at Harvard in seven years, fueled by his work on adversarial machine learning, a way to fool artificial intelligence models using ...
technologynetworks

Cars Require Regular Inspection, Why Should AI Models Be Any Different?

This article includes research findings that are yet to be peer-reviewed. Results are therefore regarded as preliminary and should be interpreted as such. Find out about the role of the peer review ...