论文标题
wordsig：QR流启用与平台无关的自我识别，这是不可能的
WordSig: QR streams enabling platform-independent self-identification that's impossible to deepfake
论文作者
论文摘要
Deepfakes可以通过限制我们从领导者，当局甚至朋友信任视频内容的能力来降低社会的结构。视频流平台可以使用密码安全的数字签名来认可内容，但是这些签名是由内容分销商而不是视频中的参与者应用的。我们介绍了一个简单的协议，允许视频参与者使用QR码流数字签名他们所说的单词，并允许观众验证视频中签名的一致性。这允许建立观众与参与者之间未由内容分销商介导的连接。鉴于QR代码广泛采用了分发超链接和疫苗接种记录的广泛采用，以及名人深击的越来越多，2022年或更高版本可能是公众人物开始使用和促进基于QR的自授权工具的好时机。
Deepfakes can degrade the fabric of society by limiting our ability to trust video content from leaders, authorities, and even friends. Cryptographically secure digital signatures may be used by video streaming platforms to endorse content, but these signatures are applied by the content distributor rather than the participants in the video. We introduce WordSig, a simple protocol allowing video participants to digitally sign the words they speak using a stream of QR codes, and allowing viewers to verify the consistency of signatures across videos. This allows establishing a trusted connection between the viewer and the participant that is not mediated by the content distributor. Given the widespread adoption of QR codes for distributing hyperlinks and vaccination records, and the increasing prevalence of celebrity deepfakes, 2022 or later may be a good time for public figures to begin using and promoting QR-based self-authentication tools.
