Voice Anti-Spoofing

What Is LLM Watermark Erasing (Removing) Attack? Watermark erasing attack is an unauthorised process of removing metadata inserted in some type of media: video, image, text, and so on. Large Language Models (LLMs) and their output are also watermarked. The attack is typically orchestrated without tempering with the encryption key applied to protect the media.

What is Voice Cloning and How It Can Be Used in Financial Fraud? Voice cloning is a machine learning-based technology which can plausibly mimic a voice. With the help of neural models, it’s possible to imitate timbre, intonation, accent, and even emotion that is inherent to human speech. Voice cloning is known to be featured

Voice cloning is a technology based on machine learning with the goal of seamlessly mimicking a person’s voice. Voice cloning (VC) is an advanced technology powered by Artificial Intelligence (AI) that is capable of imitating a given person’s voice with uncanny precision. Neural Network architectures employed in the process can mimic subtle nuances, including intonations,

Replay attacks are a type of Presentation Attacks (PAs), in which stolen media files are replayed from a portable device to fool a biometric authentication system. Attack tools include data, which belongs to a legitimate user and retains liveness of their voice, but is captured and used

Fake audio, in most cases, refers to a falsified audio data that impersonates the voice of a legitimate speaker. Although it may not be produced for ill-intentioned purposes, synthetic audio files made with voice-cloning tools are often used for fraud and misinformation

Automatic Speaker Verification (ASV) is a personal verification system, which authorizes a user by their voice. A speech sample of a registered user is stored in its database, which is later compared to an input sample during the access phase. While being reliable and affordable to

Voice liveness detection is a group of security measures, which detect and prevent voice spoofing attacks. These attacks can be characterized as a type of voice phishing. Although scams involving remote verbal communication existed since the earliest days of telephony

Voice antispoofing contests have steadily been attracting attention since 2015 when the first ASVspoof challenge was introduced. Their daw began almost at the same time with the origin of voice anti-spoofing and its types, and preventive techniques. The goal of the challenge was to

Voice spoofing or Automatic Speaker Verification (ASV) attacks are a relatively new threat to biometric recognition systems. Voice recognition technology has been around for almost 70 years — the first VR system dubbed “Audrey” was introduced in 1952 by Bell Laboratories