As people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority ...

Researchers present a novel framework that uses image-mining techniques and machine learning algorithms to identify flaws in counterfeit coins. The researchers' framework uses fuzzy association rules ...

Google has launched a new fake call detection feature on Android to combat AI-powered deepfake impersonation scams. This industry-first protection, available on Phone by Google, verifies legitimate ...

FTIR spectroscopy detects counterfeit electronics fast and effectively. [1] It provides a critical solution in the fight against counterfeit products that threaten various sectors of our economy. As ...

Video forgery detection encompasses a suite of computational methods aimed at verifying the authenticity and integrity of digital video content. With widespread availability of advanced editing tools, ...

A new smartphone application developed by researchers at ETH Zurich aims to tackle the issue of document forgery by providing a convenient and reliable method to verify the authenticity of various ...

AI-generated fake images: If an image feels too shocking or unbelievable, pause before forwarding it. Tools such as reverse image search can help verify where a picture first appeared online.

In the ambitious pursuit to tackle the harms from false content on social media and news websites, data scientists are getting creative. The next level AI tools will personalise detection of false ...

Christy Bieber has a JD from UCLA School of Law and began her career as a college instructor and textbook author. She has been writing full time for over a decade with a focus on making financial and ...