A5101942160- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Neuroinflammation and Neurodegeneration Mechanisms
- Alzheimer's disease research and treatments
- Image Processing Techniques and Applications
- Biometric Identification and Security
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Tryptophan and brain disorders
- EEG and Brain-Computer Interfaces
- Cell Image Analysis Techniques
- Inflammation biomarkers and pathways
- Blind Source Separation Techniques
- Advanced battery technologies research
- Neurological Disease Mechanisms and Treatments
- Physical Unclonable Functions (PUFs) and Hardware Security
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Neuroscience and Neural Engineering
- Chaos-based Image/Signal Encryption
- Image Retrieval and Classification Techniques
- Gaze Tracking and Assistive Technology
- Neuroscience and Neuropharmacology Research
- Bioinformatics and Genomic Networks
- Video Analysis and Summarization
Hitachi (United Kingdom)
2015-2021
Network Rail
2021
University College London
2018
New York University Abu Dhabi
2012-2014
New York University
2009-2012
SUNY Polytechnic Institute
2008-2011
Polymer Research Institute
2007
Bursa Uludağ Üni̇versi̇tesi̇
2005-2006
Boğaziçi University
2005
Jackson State University
2005
Copy-move forgery is a specific type of image tampering, where part the copied and pasted on another same image. In this paper, we propose new approach for detecting copy-move in digital images, which considerably more robust to lossy compression, scaling rotation manipulations. Also, improve computational complexity duplicated regions, use notion counting bloom filters as an alternative lexicographic sorting, common component most proposed detection schemes. Our experimental results show...
In this work, we focus our interest on blind source camera identification problem by extending results in the direction of M. Kharrazi et al. (2004). The interpolation color surface an image due to use a filter array (CFA) forms basis paper. We propose identify based traces proprietary algorithm deployed digital camera. For purpose, set characteristics are defined and then used conjunction with support vector machine multi-class classifier determine originating also provide initial...
Techniques and methodologies for validating the authenticity of digital images testing presence doctoring manipulation operations on them has recently attracted attention. We review three categories forensic features discuss design classifiers between doctored original images. The performance with respect to selected controlled manipulations as well uncontrolled is analyzed. tools image detection are treated under feature fusion decision scenarios.
Abstract Genome-wide association studies have reported that, amongst other microglial genes, variants in TREM2 can profoundly increase the incidence of developing Alzheimer’s disease (AD). We investigated role primary cultures from wild type mice by using siRNA to decrease Trem2 expression, and parallel knock-in heterozygous or homozygous for R47H AD risk variant. The prevailing phenotype was decreased expression levels microglia, which resulted density microglia hippocampus. Overall, with...
Abstract Genome-wide association studies of late-onset Alzheimer’s disease risk have previously identified genes primarily expressed in microglia that form a transcriptional network. Using transgenic mouse models amyloid deposition, we showed many the orthologues these are co-expressed and associated with pathology. In this new study, generate an improved RNA-seq-derived network is amyloid-responsive statistically compare gene-level variation previous human genome-wide to predict at least...
Abstract Recently, we reported oligoadenylate synthetase 1 (OAS1) contributed to the risk of Alzheimer’s disease, by its enrichment in transcriptional networks expressed microglia. However, function OAS1 within microglia was not known. Using genotyping from 1313 individuals with sporadic disease and 1234 control individuals, confirm variant, rs1131454, is associated increased for disease. The same locus has been recently severe coronavirus 2019 (COVID-19) outcomes, linking both diseases....
Detecting and treating Alzheimer’s disease, before cognitive deficits occur, has become the health challenge of our time. The earliest known event in disease is rising amyloid-β. Previous studies have suggested that effects on synaptic transmission may precede plaque deposition. Here we report how relative levels different soluble amyloid-β peptides hippocampus, preceding deposition, relate to genomic changes. Immunoprecipitation-mass spectrometry was used measure early rise a mouse model...
In this paper we present a framework for digital image forensics. Based on the assumptions that some processing operations must be done before it is doctored and an expected measurable distortion after image, design classifiers discriminates between original processed images. We propose novel way of measuring two images, one being other processed. The measurements are used as features in classifier design. Using these test whether suspicious part given has been with particular method or not....
In a novel method for identifying the source camera of digital image is proposed. The based on first extracting imaging sensor's pattern noise from many images and later verifying its presence in given through correlative procedure. this paper, we investigate performance more realistic setting provide results concerning detection performance. To improve applicability as forensic tool, propose an enhancement over it by also that class properties question are agreement with those camera. For...
Discrimination of computer generated images from real is becoming more and important. In this paper, we propose the use new features to distinguish images. The proposed are based on differences in acquisition process More specifically, traces demosaicking chromatic aberration used differentiate digital camera It observed that former perform very well high quality images, whereas latter consistently across a wide range compression values. experimental results show capable improving accuracy...
It is now established that photo-response nonuniformity noise pattern can be reliably used as a fingerprint to identify an image sensor. The large size and random nature of sensor fingerprints, however, make them inconvenient store. Further, associated matching method computationally expensive, especially for applications involve large-scale databases. To address these limitations, we propose represent fingerprints in binary-quantized form. shown through both analytical study simulations the...
The photo response non-uniformity noise associated with an imaging sensor has been shown to be a unique and persistent identifier that can treated as the sensor's digital fingerprint. method for attributing image particular camera, however, is not suitable source identification due efficiency considerations, which one-to-many matching of single fingerprint against database fingerprints. To address this problem, we propose group-testing approach based on notion composite fingerprints (CFs),...
Several promising techniques have been recently proposed to bind an image or video its source acquisition device. These intensively studied address performance issues, but the computational efficiency aspect has not given due consideration. Considering very large databases, in this paper, we focus on of sensor fingerprint based device identification technique.1 We propose a novel scheme tree structured vector quantization that offers logarithmic improvements search complexity as compared...
As image source attribution techniques have become significantly sophisticated and are now becoming commonplace, there is a growing need for capabilities to anonymize images videos. Focusing on the photo response non-uniformity noise pattern based sensor fingerprinting technique, this work evaluates effectiveness of well-established seam carving method defend against fingerprint matching. We consider ways in which seam-carving anonymization can be countered propose enhancements over...
We introduce a new video copy detection scheme to complement existing content-based techniques. The idea of our is based on the fact that visual media possess unique characteristics can be used link its source. Proposed attempts detect duplicate and modified copies primarily peculiarities imaging sensors rather than content only. demonstrate viability by both analyzing robustness against common processing operations evaluating performance real world data. Results show proposed very effective...
Abstract Genetic analysis of late-onset Alzheimer’s disease risk has previously identified a network largely microglial genes that form transcriptional network. In transgenic mouse models amyloid deposition we have shown the expression many orthologs these are co-ordinately up-regulated by deposition. Here investigate whether systematic other members this amyloid-responsive predicts loci. This statistical comparison amyloid-response with genome-wide association studies identifies 5 genetic...
Given a query image or video, known camera fingerprint, there is lack of capabilities for fast identification media, from large repository images and videos, that match the fingerprint. This work introduces new approach improves computation efficiency pairwise fingerprint matching incorporates group testing to make search more effective. More specifically, we jointly leverage individual strengths composite fingerprints digests in novel manner design two methods are superior existing...
Most work on steganalysis, except a few exceptions, have primarily focused providing features with high discrimination power without giving due consideration to issues concerning practical deployment of steganalysis methods. In this work, we focus machine learning aspect steganalyzer design and utilize hierarchical ensemble classifiers based approach tackle two main issues. Firstly, proposed provides workable systematic procedure incorporate several steganalyzers together in composite...
Abstract Genome-wide association studies have reported that, amongst other microglial genes, variants in TREM2 can profoundly increase the incidence of developing Alzheimer’s disease (AD). We investigated role primary cultures from wild type mice by using siRNA to decrease Trem2 expression, and parallel knock-in heterozygous or homozygous for R47H AD risk variant. The prevailing phenotype was decreased expression levels microglia, which resulted density microglia hippocampus. Overall, with...