Security researchers at Cybernews discovered on June 12 what they describe as one of the largest credential databases ever left exposed online — a publicly accessible Elasticsearch cluster holding 24 ...

Aims To develop a generative adversarial network (GAN) capable of generating realistic high-resolution anterior segment optical coherence tomography (AS-OCT) images. Methods This study included 142 ...

ThreatsDay Bulletin covers AI abuse, poisoned packages, phishing, macOS attacks, SD-WAN flaws, scams, and supply-chain ...

Since the first All Valley tournament in the original 1984 film, the martial arts franchise has lived on in the zeitgeist ...

Microsoft is reportedly preparing thousands of job cuts as AI spending rises, with sales, consulting, and Xbox among the areas expected to be affected. If you can only read one tech story a day, this ...

Abstract: Adversarial examples represent a serious threat for deep neural networks in several application domains and a huge amount of work has been produced to investigate them and mitigate their ...

What is this book about? Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is ...

This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine learning engineer. My main goal was to find an approach to studying Machine Learning that is ...

Abstract: Tensors, or multidimensional arrays, are data structures that can naturally represent visual data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic ...

Explore the latest news and expert commentary on Vulnerabilities & Threats, brought to you by the editors of Dark Reading ...

Explore the latest news and expert commentary on Application Security, brought to you by the editors of Dark Reading ...