generative adversarial networks (GANs) tagged posts

Cybercriminals are coming up with increasingly savvy ways to disrupt online services, access sensitive data or crash internet user’s devices. A cyberattack that has become very common over the past decades is the so-called Distributed Denial of Service (DDoS) attack.

This type of attack involves a series of devices connected to the internet, which are collectively referred to as a “botnet.” This “group” of connected devices is then used to flood a target server or website with “fake” traffic, disrupting its operation and making it inaccessible to legitimate users.

To protect their website or servers from DDoS attacks, businesses and other users commonly use firewalls, anti-malware software or conventional intrusion detection syste...

Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. For instance, GANs have been successfully used to generate image datasets to train other deep learning algorithms, to generate videos or animations for specific uses, and to create suitable captions for images.

Researchers at the Computer Vision and Biometrics Lab of IIT Allahabad and Vignan University in India have recently developed a new GAN-based model that can generate compressed images from text-based descriptions...

Researchers at the USC Viterbi School of Engineering are using generative adversarial networks (GANs) — technology best known for creating deepfake videos and photorealistic human faces — to improve brain-computer interfaces for people with disabilities.

In a paper published in Nature Biomedical Engineering, the team successfully taught an AI to generate synthetic brain activity data. The data, specifically neural signals called spike trains, can be fed into machine-learning algorithms to improve the usability of brain-computer interfaces (BCI).

BCI systems work by analyzing a person’s brain signals and translating that neur...