论文标题
视觉多媒体内容的消毒：技术，攻击和未来方向的调查
Sanitization of Visual Multimedia Content: A Survey of Techniques, Attacks, and Future Directions
论文作者
论文摘要
我们网络社会中多媒体出版的爆炸率扩大了敏感信息泄漏和滥用的风险，从而推动了确保数据免受可能暴露的需求。数据消毒 - 混淆或删除与数据相关的敏感内容的过程 - 有助于减轻潜在安全和隐私风险的严重影响。本文介绍了旨在保护数字视觉内容（即图像和视频），针对引用机制的攻击以及可能的对策的审查。提供的彻底系统化以及讨论的挑战和研究方向可以为新研究铺平道路。
The exploding rate of multimedia publishing in our networked society has magnified the risk of sensitive information leakage and misuse, pushing the need to secure data against possible exposure. Data sanitization -- the process of obfuscating or removing sensitive content related to the data -- helps to mitigate the severe impact of potential security and privacy risks. This paper presents a review of the mechanisms designed for protecting digital visual contents (i.e., images and videos), the attacks against the cited mechanisms, and possible countermeasures. The provided thorough systematization, alongside the discussed challenges and research directions, can pave the way to new research.
