"Audio Deepfake Detective Developing New Sleuthing Techniques"

Audio deepfakes have raised concerns among cybersecurity experts as scammers increasingly use voice-related Artificial Intelligence (AI) schemes for various malicious activities. With AI-driven audio generation making it challenging to distinguish between real and fake audio, You "Neil" Zhang of the University of Rochester's Audio Information Research (AIR) Lab is developing new audio deepfake detection systems. Zhang is also working on watermarking techniques for the audio generation process that will help identify the source of deepfakes. This article continues to discuss Zhang's research efforts to develop novel defenses against deepfake scams.

The University of Rochester reports "Audio Deepfake Detective Developing New Sleuthing Techniques"

Submitted by grigby1

Submitted by grigby1 CPVI on