CIF: Small: Privacy Protection of Multimedia Processing

隐私权长期以来被视为基本的普世人权之一。无处不在的传感器、无线连接和强大的识别算法相结合，使监控我们日常生活的方方面面变得比以往任何时候都更容易。从使用复杂的视频监控系统到窃取生物识别信号，人们对多媒体数据的隐私越来越警惕。为了缓解公众对侵犯隐私的担忧，在开发下一代多媒体处理算法时，将隐私保护作为优先事项势在必行。由于多媒体系统的高维、高数据率和严格的实时要求，开发可证明安全的多媒体隐私保护方案往往会导致复杂性的爆炸性增长，并且对于大多数应用来说仍然是不实用的，该研究通过研究一种结合分布式多媒体处理和同态加密的新的计算框架来打破经典密码学方法的这一效率障碍。基于PI的最新结果，这项工作通过优化计算程序、密文并行计算、小域操作和加密数据压缩来开发高效的加密域处理。此外，通过利用隐私和多媒体的感知特性之间的相互作用，该工作开发了一种可证明安全的隐私和复杂性之间的折衷方案，以显著降低加密域处理的复杂性和带宽需求。PI通过在生物特征匹配、目标检测、语音分析和计算摄影中的新应用展示了这一新框架的可用性。这项工作还包括针对农村地区高中生的外展计划、暑期本科生研究体验、跨学科研究生教育以及通过电视纪录片进行的社区外展。

The right to privacy has long been regarded as one of the basic universal human rights. The combination of ubiquitous sensors, wireless connectivity, and powerful recognition algorithms makes it easier than ever to monitor every aspect of our daily lives. From the use of sophisticated video surveillance systems to the theft of biometric signals, people are increasingly wary about the privacy of their multimedia data. To mitigate public concern over privacy violation, it is imperative to make privacy protection a priority in developing the next-generation multimedia processing algorithms. Due to the high dimensionality, high data-rates and stringent real-time requirements of multimedia systems, developing provably-secure privacy protection schemes for multimedia often leads to a blowup in complexity and remains impractical for most applications.This research breaks this "efficiency barrier" of the classical cryptographical approach by investigating a new computational framework to combine distributed multimedia processing and homomorphic encryption. Building on recent results of the PI, this work develops efficient encrypted-domain processing through optimal computational procedures, parallel computation in cipher-text, small-field manipulation and encrypted data compression. In addition, by exploiting the interplay between privacy and the perceptual nature of multimedia, this work develops a provably-secure tradeoff scheme between privacy and complexity to significantly reduce the complexity and bandwidth requirements of encrypted-domain processing. The PI demonstrates the usability of this new framework through novel applications in biometric matching, object detection, speech analysis and computational photography. This work also incorporates outreach programs for high school students in rural areas, summer undergraduate research experiences, interdisciplinary postgraduate education and community outreach via television documentaries on research discovery.