VideoDP: A Flexible Platform for Video Analytics with Differential Privacy
VideoDP: A Flexible Platform for Video Analytics with Differential Privacy
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VideoDP：一种灵活的差异化隐私视频分析平台
DOI：
10.2478/popets-2020-0073
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发表时间：
2020-08
影响因子：
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通讯作者：
Han Wang;Shangyu Xie;Yuan Hong
中科院分区：
文献类型：
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作者：
Han Wang;Shangyu Xie;Yuan Hong
摘要在个人设备和专用的视频记录设备中，无处不在地产生大量的视频。分析这些数据在现实世界中将是非常有用的(例如，城市交通分析)。然而，视频包含相当多的敏感信息，如人脸、身份和活动。大多数现有的视频净化技术只是通过检测和模糊感兴趣的区域(例如，人脸、车辆牌照、位置和时间戳)来混淆视频。不幸的是，模糊视频中的隐私泄露不能被有效地限制，特别是在未知背景知识的情况下。在本文中，据我们所知，我们提出了第一个差异私有视频分析平台(VideoDP)，该平台可以灵活地支持不同的视频分析，并提供严格的隐私保障。在给定输入视频的情况下，VideoDP随机生成效用驱动的私有视频，其中添加或移除任何敏感的视觉元素(例如，人和对象)不会显著影响输出视频。然后，不受信任的视频分析人员所请求的不同视频分析可以在具有不同隐私的杀毒视频上灵活地执行。最后，我们在真实视频上进行了实验，实验结果表明，该算法能够为视频分析生成准确的结果。
Abstract Massive amounts of videos are ubiquitously generated in personal devices and dedicated video recording facilities. Analyzing such data would be extremely beneficial in real world (e.g., urban traffic analysis). However, videos contain considerable sensitive information, such as human faces, identities and activities. Most of the existing video sanitization techniques simply obfuscate the video by detecting and blurring the region of interests (e.g., faces, vehicle plates, locations and timestamps). Unfortunately, privacy leakage in the blurred video cannot be effectively bounded, especially against unknown background knowledge. In this paper, to our best knowledge, we propose the first differentially private video analytics platform (VideoDP) which flexibly supports different video analyses with rigorous privacy guarantee. Given the input video, VideoDP randomly generates a utility-driven private video in which adding or removing any sensitive visual element (e.g., human, and object) does not significantly affect the output video. Then, different video analyses requested by untrusted video analysts can be flexibly performed over the sanitized video with differential privacy. Finally, we conduct experiments on real videos, and the experimental results demonstrate that VideoDP can generate accurate results for video analytics.