Deepfake Detection News Today

Although artificial intelligence (“AI”) improves how businesses interact with customers, process sales, manage inventory and more, it also heralds new and unique cybersecurity risks....

Deepfakes are threatening privacy and security. Detection methods using deep learning aim to combat this but there’s a long way to go.

One out of every hundred users of a digital platform or service is a member of a fraud ring, according to new research from Sumsub

Hugging Face has an AI projects to combat “the rise of AI-generated 'fake' human content” like deepfakes and voice scams.

Hugging Face released a collection of tools for watermarking and detecting AI-generated content.

Deepfakes are fast becoming more realistic, and access to them more democratic, enabling even ordinary attackers to enact major fraud. What's the most effective way to fight back?

The rise of deepfakes is making it harder to distinguish real information from a well-crafted artificial intelligence-generated imposter.

With the Le Creuset incident fresh in our minds, it’s not hard to see the problems deepfake technology can present.

In the era where deepfake exists regularly, it is important to arm yourself with knowledge to detect which is legit or fake. Here are some tips to use next time you recognize suspicious content online:

A new deepfake detection system was developed to mitigate biases present in existing models. Siwei Lyu, a computer scientist at the University at Buffalo (UB) and an expert in deepfake technology, has introduced novel deepfake detection algorithms designed to mitigate biases present in existing models.