Authorship identification has proven unsettlingly effective in inferring the identity of the author of an unsigned document, even when sensitive personal information has been carefully omitted. In the digital era, individuals leave a lasting digital footprint through their written content, whether it is posted on social media, stored on their employer's computers, or located elsewhere. When individuals need to communicate publicly yet wish to remain anonymous, there is little available to protect them from unwanted authorship identification. This unprecedented threat to privacy is evident in scenarios such as whistle-blowing. Proposed defenses against authorship identification attacks primarily aim to obfuscate one's writing style, thereby making it unlinkable to their pre-existing writing, while concurrently preserving the original meaning and grammatical integrity. The presented work offers a comprehensive review of the advancements in this research area spanning over the past two decades and beyond. It emphasizes the methodological frameworks of modification and generation-based strategies devised to evade authorship identification attacks, highlighting joint efforts from the differential privacy community. Limitations of current research are discussed, with a spotlight on open challenges and potential research avenues.

作者身份辨识的有效性为人所知，在未签名的文档中推断出作者的身份，即使敏感个人信息已被小心地省略。在数字时代，个人通过其书面内容留下持久的数字足迹，无论是在社交媒体上发布，存储在雇主的计算机上，还是其他地方。当个人需要公开交流但希望保持匿名时，几乎没有什么可以保护他们免受不必要的作者身份辨识的工具。该论文综述了过去二十多年来关于规避作者身份辨识攻击的研究的进展，重点介绍了修改和生成为基础的策略，着重强调了差分隐私社区的共同努力。讨论了当前研究的局限性，并聚焦于开放性挑战和潜在的研究方向。

抵御作者身份识别攻击