Publications
Simultaneous transmit and receive (STAR) system architecture using multiple analog cancellation layers
May 17, 2015
Conference Paper
Published in:
2015 IEEE MTT-S Int. Microwave Symp. (IMS 2015) 17-22 May 2015.
Summary
Simultaneous Transmit and Receive operation requires a high amount of transmit-to-receive isolation in order to avoid self-interference. This isolation is best achieved by utilizing multiple cancellation techniques. The combination of adaptive multiple-input multiple-output spatial cancellation with a high-isolation antenna and RF canceller produces a novel system architecture that focuses on cancellation in the analog domain before the receiver's low-noise amplifier. A prototype of this system has been implemented on a moving vehicle, and measurements have proven that this design is capable of providing more than 90 dB of total isolation in realistic multi path environments over a 30 MHz bandwidth centered at 2.45 GHz. Index Terms-Adaptive systems, full-duplex wireless communication, interference cancellation, multiaccess communication, simultaneous transmit and receive, STAR.
Summary
Simultaneous Transmit and Receive operation requires a high amount of transmit-to-receive isolation in order to avoid self-interference. This isolation is best achieved by utilizing multiple cancellation techniques. The combination of adaptive multiple-input multiple-output spatial cancellation with a high-isolation antenna and RF canceller produces a novel system architecture that focuses on...
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Repeatable reverse engineering for the greater good with PANDA
May 16, 2015
Conference Paper
Published in:
37th Int. Conf. on Software Engineering, 16 May 2015.
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Summary
We present PANDA, an open-source tool that has been purpose-built to support whole system reverse engineering. It is built upon the QEMU whole system emulator, and so analyses have access to all code executing in the guest and all data. PANDA adds the ability to record and replay executions, enabling iterative, deep, whole system analyses. Further, the replay log files are compact and shareable, allowing for repeatable experiments. A nine billion instruction boot of FreeBSD, e.g., is represented by only a few hundred MB. Furhter, PANDA leverages QEMU's support of thirteen different CPU architectures to make analyses of those diverse instruction sets possible within the LLVM IR. In this way, PANDA can have a single dynamic taint analysis, for example, that precisely supports many CPUs. PANDA analyses are written in a simple plugin architecture which includes a mechanism to share functionality between plugins, increasing analysis code re-use and simplifying complex analysis development. We demonstrate PANDA's effectiveness via a number of use cases, including enabling an old but legitimate version of Starcraft to rund espite a lost CD key, in-depth diagnosis of an Internet Explorer crash, and uncovering the censorship activities and mechanisms of a Chinese IM client.
Summary
We present PANDA, an open-source tool that has been purpose-built to support whole system reverse engineering. It is built upon the QEMU whole system emulator, and so analyses have access to all code executing in the guest and all data. PANDA adds the ability to record and replay executions, enabling...
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Coherent beam-combining of quantum cascade amplifier arrays
May 10, 2015
Conference Paper
Published in:
CLEO: Conf. on Lasers and Electro-Optics, 10-15 May 2015.
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We present design, packaging and coherent beam combining of quantum cascade amplifier (QCA) arrays, measurements of QCA phase noise, the drive-current-to-optical-phase transfer function, and the small signal gain for QCAs.
Summary
We present design, packaging and coherent beam combining of quantum cascade amplifier (QCA) arrays, measurements of QCA phase noise, the drive-current-to-optical-phase transfer function, and the small signal gain for QCAs.
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Unifying leakage classes: simulatable leakage and pseudoentropy
May 2, 2015
Conference Paper
Published in:
8th Int. Conf. Information-Theoretic Security (ICITS 2015), 2-5 May 2015 in Lecture Notes in Computer Science (LNCS), Vol. 9063, 2015, pp. 69-86.
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Summary
Leakage resilient cryptography designs systems to withstand partial adversary knowledge of secret state. Ideally, leakage-resilient systems withstand current and future attacks; restoring confidence in the security of implemented cryptographic systems. Understanding the relation between classes of leakage functions is an important aspect. In this work, we consider the memory leakage model, where the leakage class contains functions over the system's entire secret state. Standard limitations include functions over the system's entire secret state. Standard limitations include functions with bounded output length, functions that retain (pseudo) entropy in the secret, and functions that leave the secret computationally unpredictable. Standaert, Pereira, and Yu (Crypto, 2013) introduced a new class of leakage functions they call simulatable leakage. A leakage function is simulatable if a simulator can produce indistinguishable leakage without access to the true secret state. We extend their notion to general applications and consider two versions. For weak simulatability: the simulated leakage must be indistinguishable from the true leakage in the presence of public information. For strong simulatability, this requirement must also hold when the distinguisher has access to the true secret state. We show the following: --Weakly simulatable functions retain computational unpredictability. --Strongly simulatability functions retain pseudoentropy. --There are bounded length functions that are not weakly simulatable. --There are weakly simulatable functions that remove pseudoentropy. --There are leakage functions that retain computational unpredictability are not weakly simulatable.
Summary
Leakage resilient cryptography designs systems to withstand partial adversary knowledge of secret state. Ideally, leakage-resilient systems withstand current and future attacks; restoring confidence in the security of implemented cryptographic systems. Understanding the relation between classes of leakage functions is an important aspect. In this work, we consider the memory leakage...
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Model of turn-on characteristics of InP-based Geiger-mode avalanche photodiodes suitable for circuit simulations
April 22, 2015
Conference Paper
Published in:
SPIE, Vol. 9492, Advanced Photon Counting Techniques IX, 28 May 2015.
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Summary
A model for the turn-on characteristics of separate-absorber-multiplier InP-based Geiger-mode Avalanche Photodiodes (APDs) has been developed. Verilog-A was used to implement the model in a manner that can be incorporated into circuit simulations. Rather than using SPICE elements to mimic the voltage and current characteristics of the APD, Verilog-A can represent the first order nonlinear differential equations that govern the avalanche current of the APD. This continuous time representation is fundamentally different than the piecewise linear characteristics of other models. The model is based on a driving term for the differential current, which is given by the voltage overbias minus the voltage drop across the device?s space-charge resistance RSC. This drop is primarily due to electrons transiting the separate absorber. RSC starts off high and decreases with time as the initial breakdown filament spreads laterally to fill the APD. With constant bias voltage, the initial current grows exponentially until space charge effects reduce the driving function. With increasing current the driving term eventually goes to zero and the APD current saturates. On the other hand, if the APD is biased with a capacitor, the driving term becomes negative as the capacitor discharges, reducing the current and driving the voltage below breakdown. The model parameters depend on device design and are obtained from fitting the model to Monte-Carlo turn-on simulations that include lateral spreading of the carriers of the relevant structure. The Monte-Carlo simulations also provide information on the probability of avalanche, and jitter due to where the photon is absorbed in the APD.
Summary
A model for the turn-on characteristics of separate-absorber-multiplier InP-based Geiger-mode Avalanche Photodiodes (APDs) has been developed. Verilog-A was used to implement the model in a manner that can be incorporated into circuit simulations. Rather than using SPICE elements to mimic the voltage and current characteristics of the APD, Verilog-A can...
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Deep neural network approaches to speaker and language recognition
April 21, 2015
Journal Article
Published in:
IEEE Signal Process. Lett., Vol. 22, No. 10, October 2015, pp. 1671-5.
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The impressive gains in performance obtained using deep neural networks (DNNs) for automatic speech recognition (ASR) have motivated the application of DNNs to other speech technologies such as speaker recognition (SR) and language recognition (LR). Prior work has shown performance gains for separate SR and LR tasks using DNNs for direct classification or for feature extraction. In this work we present the application for single DNN for both SR and LR using the 2013 Domain Adaptation Challenge speaker recognition (DAC13) and the NIST 2011 language recognition evaluation (LRE11) benchmarks. Using a single DNN trained for ASR on Switchboard data we demonstrate large gains on performance in both benchmarks: a 55% reduction in EER for the DAC13 out-of-domain condition and a 48% reduction in Cavg on the LRE11 30 s test condition. It is also shown that further gains are possible using score or feature fusion leading to the possibility of a single i-vector extractor producing state-of-the-art SR and LR performance.
Summary
The impressive gains in performance obtained using deep neural networks (DNNs) for automatic speech recognition (ASR) have motivated the application of DNNs to other speech technologies such as speaker recognition (SR) and language recognition (LR). Prior work has shown performance gains for separate SR and LR tasks using DNNs for...
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Planted clique detection below the noise floor using low-rank sparse PCA
April 19, 2015
Conference Paper
Published in:
Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP, 19-24 April 2015.
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Detection of clusters and communities in graphs is useful in a wide range of applications. In this paper we investigate the problem of detecting a clique embedded in a random graph. Recent results have demonstrated a sharp detectability threshold for a simple algorithm based on principal component analysis (PCA). Sparse PCA of the graph's modularity matrix can successfully discover clique locations where PCA-based detection methods fail. In this paper, we demonstrate that applying sparse PCA to low-rank approximations of the modularity matrix is a viable solution to the planted clique problem that enables detection of small planted cliques in graphs where running the standard semidefinite program for sparse PCA is not possible.
Summary
Detection of clusters and communities in graphs is useful in a wide range of applications. In this paper we investigate the problem of detecting a clique embedded in a random graph. Recent results have demonstrated a sharp detectability threshold for a simple algorithm based on principal component analysis (PCA). Sparse...
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Quantitative evaluation of moving target technology
April 14, 2015
Conference Paper
Published in:
HST 2015, IEEE Int. Symp. on Technologies for Homeland Security, 14-16 April 2015.
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Summary
Robust, quantitative measurement of cyber technology is critically needed to measure the utility, impact and cost of cyber technologies. Our work addresses this need by developing metrics and experimental methodology for a particular type of technology, moving target technology. In this paper, we present an approach to quantitative evaluation, including methodology and metrics, results of analysis, simulation and experiments, and a series of lessons learned.
Summary
Robust, quantitative measurement of cyber technology is critically needed to measure the utility, impact and cost of cyber technologies. Our work addresses this need by developing metrics and experimental methodology for a particular type of technology, moving target technology. In this paper, we present an approach to quantitative evaluation, including...
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Robust face recognition-based search and retrieval across image stills and video
April 14, 2015
Conference Paper
Published in:
HST 2015, IEEE Int. Symp. on Technologies for Homeland Security, 14-16 April 2015.
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Significant progress has been made in addressing face recognition channel, sensor, and session effects in both still images and video. These effects include the classic PIE (pose, illumination, expression) variation, as well as variations in other characteristics such as age and facial hair. While much progress has been made, there has been little formal work in characterizing and compensating for the intrinsic differences between faces in still images and video frames. These differences include that faces in still images tend to have neutral expressions and frontal poses, while faces in videos tend to have more natural expressions and poses. Typically faces in videos are also blurrier, have lower resolution, and are framed differently than faces in still images. Addressing these issues is important when comparing face images between still images and video frames. Also, face recognition systems for video applications often rely on legacy face corpora of still images and associated meta data (e.g. identifying information, landmarks) for development, which are not formally compensated for when applied to the video domain. In this paper we will evaluate the impact of channel effects on face recognition across still images and video frames for the search and retrieval task. We will also introduce a novel face recognition approach for addressing the performance gap across these two respective channels. The datasets and evaluation protocols from the Labeled Faces in the Wild (LFW) still image and YouTube Faces (YTF) video corpora will be used for the comparative characterization and evaluation. Since the identities of subjects in the YTF corpora are a subset of those in the LFW corpora, this enables an apples-to-apples comparison of in-corpus and cross-corpora face comparisons.
Summary
Significant progress has been made in addressing face recognition channel, sensor, and session effects in both still images and video. These effects include the classic PIE (pose, illumination, expression) variation, as well as variations in other characteristics such as age and facial hair. While much progress has been made, there...
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Global pattern search at scale
April 14, 2015
Conference Paper
Published in:
IEEE Int. Symp. on Technologies for Homeland Security, 14-16 April 2015.
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In recent years, data collection has far outpaced the tools for data analysis in the area of non-traditional GEOINT analysis. Traditional tools are designed to analyze small-scale numerical data, but there are few good interactive tools for processing large amounts of unstructured data such as raw text. In addition to the complexities of data processing, presenting the data in a way that is meaningful to the end user poses another challenge. In our work, we focused on analyzing a corpus of 35,000 news articles and creating an interactive geovisualization tool to reveal patterns to human analysts. Our comprehensive tool, Global Pattern Search at Scale (GPSS), addresses three major problems in data analysis: free text analysis, high volumes of data, and interactive visualization. GPSS uses an Accumulo database for high-volume data storage, and a matrix of word counts and event detection algorithms to process the free text. For visualization, the tool displays an interactive web application to the user, featuring a map overlaid with document clusters and events, search and filtering options, a timeline, and a word cloud. In addition, the GPSS tool can be easily adapted to process and understand other large free-text datasets.
Summary
In recent years, data collection has far outpaced the tools for data analysis in the area of non-traditional GEOINT analysis. Traditional tools are designed to analyze small-scale numerical data, but there are few good interactive tools for processing large amounts of unstructured data such as raw text. In addition to...
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