@inbook {19644,
	title = {Securing Circuits against Constant-Rate Tampering},
	booktitle = {Advances in Cryptology {\textendash} CRYPTO 2012},
	series = {Lecture Notes in Computer Science},
	year = {2012},
	month = {2012/01/01/},
	pages = {533 - 551},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	abstract = {We present a compiler that converts any circuit into one that remains secure even if a constant fraction of its wires are tampered with. Following the seminal work of Ishai et. al. (Eurocrypt 2006), we consider adversaries who may choose an arbitrary set of wires to corrupt, and may set each such wire to 0 or to 1, or may toggle with the wire. We prove that such adversaries, who continuously tamper with the circuit, can learn at most logarithmically many bits of secret information (in addition to black-box access to the circuit). Our results are information theoretic.},
	keywords = {circuit compiler, Computer Communication Networks, computers and society, Data Encryption, Discrete Mathematics in Computer Science, Management of Computing and Information Systems, PCP of proximity, side-channel attacks, Systems and Data Security, tampering},
	isbn = {978-3-642-32008-8, 978-3-642-32009-5},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-32009-5_31},
	author = {Dana Dachman-Soled and Kalai, Yael Tauman},
	editor = {Safavi-Naini, Reihaneh and Canetti, Ran}
}
@conference {18255,
	title = {Noise Features for Image Tampering Detection and Steganalysis},
	booktitle = {Image Processing, 2007. ICIP 2007. IEEE International Conference on},
	volume = {6},
	year = {2007},
	month = {2007/10/16/19},
	pages = {VI -97 -VI -100 - VI -97 -VI -100},
	abstract = {With increasing availability of low-cost image editing softwares, the authenticity of digital images can no longer be taken for granted. Digital images have also been used as cover data for transmitting secret information in the field of steganography. In this paper, we introduce a new set of features for multimedia forensics to determine if a digital image is an authentic camera output or if it has been tampered or embedded with hidden data. We perform such image forensic analysis employing three sets of statistical noise features, including those from denoising operations, wavelet analysis, and neighborhood prediction. Our experimental results demonstrate that the proposed method can effectively distinguish digital images from their tampered or stego versions.},
	keywords = {analysis;cryptography;data, analysis;image, analysis;wavelet, authenticity;hidden, computing;statistical, data;image, denoising, denoising;multimedia, detection;low-cost, editing, encapsulation;feature, extraction;image, features;steganalysis;wavelet, forensic, forensics;neighborhood, image, NOISE, operations;digital, prediction;statistical, softwares;multimedia, tampering, transforms;},
	doi = {10.1109/ICIP.2007.4379530},
	author = {Gou,Hongmei and Swaminathan,A. and M. Wu}
}
@conference {18184,
	title = {Component Forensics of Digital Cameras: A Non-Intrusive Approach},
	booktitle = {Information Sciences and Systems, 2006 40th Annual Conference on},
	year = {2006},
	month = {2006/03//},
	pages = {1194 - 1199},
	abstract = {This paper considers the problem of component forensics and proposes a methodology to identify the algorithms and parameters employed by various processing modules inside a digital camera. The proposed analysis techniques are non-intrusive, using only sample output images collected from the camera to find the color filter array pattern; and the algorithm and parameters of color interpolation employed in cameras. As demonstrated by various case studies in the paper, the features obtained from component forensic analysis provide useful evidence for such applications as detecting technology infringement, protecting intellectual property rights, determining camera source, and identifying image tampering.},
	keywords = {analysis;image, approach;processing, array, camera;image, Color, colour, detection;optical, filter, filters;, forensics;detecting, identification;intellectual, infringement;digital, interpolation;component, intrusive, module;cameras;image, pattern;color, property, protection;non, right, sensors;interpolation;object, tampering, technology},
	doi = {10.1109/CISS.2006.286646},
	author = {Swaminathan,A. and Wu,M. and Liu,K. J.R}
}
