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 ...
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 Oncologic images showed instability to ...
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 ...
MIT Technology Review

A new way to train AI systems could keep them safer from hackers

The context: One of the greatest unsolved flaws of deep learning is its vulnerability to so-called adversarial attacks. When added to the input of an AI system, these perturbations, seemingly random ...
Forbes

Adversarial Attacks On AI Systems

We are witnessing a rapid advancement of AI and its impact across various industries. However, with great power comes great responsibility, and one of the emerging challenges in the AI landscape is ...
Forbes

Artificial Intelligence Explained: What Are Generative Adversarial Networks (GANs)?

The field of artificial intelligence (AI) is fast-moving, and new breakthroughs are regularly made. One of the more recent terms rising to prominence is Generative Adversarial Network (GAN) – but what ...