Research from Copenhagen Business School finds designers of cookie banners can affect privacy choices by manipulating choice architecture and with simple changes can increase absolute consent by 17%.

According to the study by Chinese researchers, malware can be embedded directly into the artificial neurons that make up machine learning models in a way that keeps them from being detected.

A study from computer scientists at Columbia Engineering reveals a way to encrypt personal images on popular cloud photo services without requiring any changes to – or trust in – those services.

An analysis of cryptographic libraries and the vulnerabilities affecting them has concluded that memory handling issues give rise to more vulnerabilities than encryption implementation errors.

In a recent study, a team of researchers from India and Yemen described a novel, two-step cryptography technique – the first to combine genetic technology with mathematical technique.

Researchers developed an attack technique named Adversarial Octopus that could perform a targeted attack on AI-based facial recognition systems. This attack shows that AI systems require much more attention at the security front, and such new attack methods will help raise awareness.

Researchers at the Columbia University School of Engineering and Applied Science have showcased two new approaches to providing computers with memory protection without sacrificing performance.

Researchers at the Zhejiang University and the University of Michigan found a way to blind autonomous vehicles to obstacles using simple audio signals to tamper with the camera sensor.

Researchers from the University of Rochester have created TimeCache, an approach to system security claimed to protect against side-channel attacks without the usual deleterious impact on performance.

A team of University of Michigan researchers has developed a system that can inform a smart home – or listen for the signal that would turn on a smart speaker – without eavesdropping on audible sound.