Security of Digital Files: Audio Tampering Detection
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In an age where most of the data we interact with daily is stored digitally, methods of checking its authenticity become more and more essential. This is especially true for sound, as the increasing public availability of AI models makes tampering with audio files easier than ever. In this paper, we will be investigating the current landscape of audio forensics as well as our new hardware-based solution for double encoding detection.
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