New AI technique sounding out audio deepfakes

Researchers from Australia's national science agency CSIRO, Federation University Australia and RMIT University have developed a method to improve the detection of audio deepfakes. The new technique, Rehearsal with Auxiliary-Informed Sampling (RAIS), is designed for audio deepfake detection -- a growing threat in cybercrime risks such as bypassing voice-based biometric authentication systems, impersonation and disinformation. It determines whether an audio clip is real or artificially generated (a'deepfake') and maintains performance over time as attack types evolve. In Italy earlier this year, an AI-cloned voice of its Defence Minister requested a €1M'ransom' from prominent business leaders, convincing some to pay. This is just one of many examples, highlighting the need for audio deepfake detectors.