Online identity theft is considered as an increasing-trend Internet oriented crime, affecting millions of users life worldwide. With the rapid explosion of the technological advancements,

Artificial intelligence, as happened with any complex and misunderstood technology throughout history, provokes fear and mistrust. As was the case with the printing press, the

🚔 Law enforcement agencies from 10 countries have successfully disrupted the operations of the LockBit ransomware group, dealing a significant blow to their criminal activities.

Advances in generative AI led to high-quality audio synthesis models for diverse applications. From Google DeepMind’s WaveNet to Microsoft’s VALL-E, these innovations have permeated various industries. Yet, the surge in realistic audio deepfakes poses risks, exploited by scammers to impersonate voices in scams. In response, deep learning is harnessed for precise detection tools, with ongoing challenges and commercial solutions fortifying against potential misuse. EITHOS pledges to develop robust forensics algorithms to aid law enforcement in combating audio deepfake abuse.

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