Devdiscourse

Adversarial attacks hit financial AI twice as hard during economic stress

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
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, ...
SiliconRepublic

How is IBM Research strengthening security in machine learning?

Machine learning and AI systems need data to function, but they also need to be actively protected. IBM researcher Dr Irina Nicolae is applying her skills to these complex issues. Dr Irina Nicolae is ...
TNO

Cybersecure AI and Emerging Technology

TNO drives the future of secure AI - researching, designing, and testing cutting-edge cybersecurity solutions for next-gen ...
Semiconductor Engineering

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

This calls for the need to have robust and data efficient deep learning models. In this work, we propose a deep learning approach called Multi-Expert Adversarial Regularization learning (MEAR) with ...
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 ...