@conference {18276,
	title = {Secure video processing: Problems and challenges},
	booktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on},
	year = {2011},
	month = {2011/05//},
	pages = {5856 - 5859},
	abstract = {Secure signal processing is an emerging technology to enable signal processing tasks in a secure and privacy-preserving fashion. It has attracted a great amount of research attention due to the increasing demand to enable rich functionalities for private data stored online. Desirable functionalities may include search, analysis, clustering, etc. In this paper, we discuss the research issues and challenges in secure video processing with focus on the application of secure online video management. Video is different from text due to its large data volume and rich content diversity. To be practical, secure video processing requires efficient solutions that may involve a trade-off between security and complexity. We look at three representative video processing tasks and review existing techniques that can be applied. Many of the tasks do not have efficient solutions yet, and we discuss the challenges and research questions that need to be addressed.},
	keywords = {data;video, fashion;secure, management;secure, of, online, privacy-preserving, processing;, processing;security, signal, video},
	doi = {10.1109/ICASSP.2011.5947693},
	author = {Lu,Wenjun and Varna,A. and M. Wu}
}
@conference {18150,
	title = {A Component Estimation Framework for Information Forensics},
	booktitle = {Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on},
	year = {2007},
	month = {2007/10//},
	pages = {397 - 400},
	abstract = {With a rapid growth of imaging technologies and an increasingly widespread usage of digital images and videos for a large number of high security and forensic applications, there is a strong need for techniques to verify the source and integrity of digital data. Component forensics is new approach for forensic analysis that aims to estimate the algorithms and parameters in each component of the digital device. In this paper, we develop a novel theoretical foundation to understand the fundamental performance limits of component forensics. We define formal notions of identifiability of components in the information processing chain, and present methods to quantify the accuracies at which the component parameters can be estimated. Building upon the proposed theoretical framework, we devise methods to improve the accuracies of component parameter estimation for a wide range of forensic applications.},
	keywords = {component, data, data;, Estimation, estimation;image, forensics;parameter, framework;digital, integrity;imaging, of, processing;security, technologies;information},
	doi = {10.1109/MMSP.2007.4412900},
	author = {Swaminathan,A. and M. Wu and Liu,K. J.R}
}
