A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …

Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …

In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …

Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

The radical advances in telecommunications and computer science have enabled a myriad
of applications and novel seamless interactions with computing interfaces. Voice Assistants …

The rapid development of deep neural networks and generative AI has catalyzed growth in
realistic speech synthesis. While this technology has great potential to improve lives, it also …

Synthetic-voice cloning technologies have seen significant advances in recent years, giving
rise to a range of potential harms. From small-and large-scale financial fraud to …

Highly realistic voice cloning combined with AI-powered video manipulation allows for the
creation of compelling lip-sync deepfakes where anyone can be made to say things they …

Voice authentication (VA) has recently become an integral part in numerous security-critical
operations, such as bank transactions and call center conversations. The vulnerability of …

Audio deepfake detection (ADD) is crucial to combat the misuse of speech synthesized from
generative AI models. Existing ADD models suffer from generalization issues, with a large …