Facehack V2 Site

[Training Stage] ---> Attacker introduces poisoned facial images into dataset. [Deployment Stage] -> System identifies normal faces with 99% accuracy. [Attack Execution] -> Authorized user/attacker applies Trigger (e.g., a filter or specific facial movement). [System Breach] ----> DNN triggers malicious logic, falsely granting access. How the FaceHack v2 Attack Vector Works

name has evolved from its initial 2020 arXiv publication into a peer-reviewed journal version published in facehack v2

If Facehack v2 proves that facial recognition can be reliably bypassed, it challenges the very foundation of modern digital identity. facehack v2

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