The Antispoofing Wiki project, your comprehensive resource for the rapidly evolving world of anti-spoofing technologies. Our project has grown from its roots in biometric anti-spoofing to encompass a broader mission: addressing the mounting threats posed by sophisticated AI capabilities, including deepfake detection and detection of AI-generated texts.
Deepfakes and AI-generated texts are increasingly being used to misrepresent reality and manipulate people or systems, a dangerous form of spoofing that can cause harm on both personal and societal levels. These AI-powered spoofing methods can create convincingly realistic videos, images, or texts, impersonating real individuals or fabricating entirely non-existent personalities, adding a new layer of complexity to cybersecurity.
Our new mission is to provide an accessible and authoritative educational resource for everyone – from cyber security enthusiasts to professionals – interested in understanding and combating these emerging challenges. Our extended knowledge hub covers the latest topics such as:
- Deepfake detection and countermeasures
- Detection and mitigation of AI-generated texts
- Evolution and types of spoofing attacks in KYC/Remote onboarding
- State-of-the-art anti-spoofing strategies
The Antispoofing Wiki project is not just a passive information source; we believe in the power of community collaboration. We’re offering a unique opportunity for anyone passionate about these topics to contribute to our project. You can request an author account and write a paper on a relevant topic. This way, we hope to tap into the collective intelligence of our user community, enriching our knowledge base and staying at the forefront of anti-spoofing strategies and technologies.
Together, we aim to help protect individuals and organizations from the rising tide of AI-powered spoofing attacks, thus fostering a safer digital world. Join us in our mission, share your expertise, and let’s learn together!
The site includes the following sections:
Five categories, in which articles are published according to their topics:
- Face Liveness — A comprehensive review of facial anti-spoofing methods, algorithms, and standardization.
- Deepfake Detection — Articles on the origin, threats, and detection of deepfakes.
- Voice Anti-spoofing — A survey of the popular scam techniques based on speech synthesis and voice impersonation.
- AI-generated Texts — A review of the most effective methods of creating and detecting artificially generated texts.
- Liveness Taxonomy — A group of articles dedicated to describing and classifying spoofing and liveness approaches.
Also the following pages:
- Sign up / Sign in – In the pop-up window, users can enter their log-in/password to get authorized in order to edit articles.
- Add a new article – option becomes available upon authorization.
- Privacy policy: This page underlines the policies governing collection, use, and sharing of user data collected from the Antispoofing Wiki users and a guide explaining how the site uses cookies (and other local storage technologies)
- Terms: This section provides information about public services on Antispoofing Wiki, the site’s relationship with users, and the rights and obligations governing the site.
If you have any comments or suggestions, please send them via the feedback form on the Contact page.
