Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images

In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject. Specifically, the proposed autoencoder transforms an input face image such that the transformed image can be successfully used for face recognition but not for gender classification. In order to train this autoencoder, we propose a novel training scheme, referred to as semi-adversarial training in this work. The training is facilitated by attaching a semi-adversarial module consisting of a pseudo gender classifier and a pseudo face matcher to the autoencoder. The objective function utilized for training this network has three terms: one to ensure that the perturbed image is a realistic face image; another to ensure that the gender attributes of the face are confounded; and a third to ensure that biometric recognition performance due to the perturbed image is not impacted. Extensive experiments confirm the efficacy of the proposed architecture in extending gender privacy to face images

Going on-line on a shoestring: An experiment in concurrent development of requirements and architecture

A number of on-line applications were built for a small university using a micro-sized development team. Four ideas were tested during the project: the Twin Peaks development model, using fully functional prototypes in the requirements elicitation process, some core practices of Extreme Programming, and the use of open-source software in a production environment. Certain project management techniques and their application to a micro-sized development effort were also explored. These ideas and techniques proved effective in developing many significant Internet and networked applications in a short time and at very low cost

Stability for component integration assessment

Component-Based Software Development is focused on assembling previously existing components (COTS and other non-developmental items) into larger systems, and migrating existing systems toward component approaches. Ideally, most of the application developer’s time is spent integrating components. We present an approach that can be used in the process of establishing component integration’s quality as an important field to resolving CBS quality problems – problems ranging from CBS quality definition, measurement, analysis, and improvement to tools, methods and processes. In this paper, we introduce an important property we called system’s stability as part of a cycle for assessing and improving component-based systems. This property is the basis for determining the impact of incorporating COTS components into a stable system.Eje: Ingeniería de SoftwareRed de Universidades con Carreras en Informática (RedUNCI

From a Competition for Self-Driving Miniature Cars to a Standardized Experimental Platform: Concept, Models, Architecture, and Evaluation

Context: Competitions for self-driving cars facilitated the development and research in the domain of autonomous vehicles towards potential solutions for the future mobility. Objective: Miniature vehicles can bridge the gap between simulation-based evaluations of algorithms relying on simplified models, and those time-consuming vehicle tests on real-scale proving grounds. Method: This article combines findings from a systematic literature review, an in-depth analysis of results and technical concepts from contestants in a competition for self-driving miniature cars, and experiences of participating in the 2013 competition for self-driving cars. Results: A simulation-based development platform for real-scale vehicles has been adapted to support the development of a self-driving miniature car. Furthermore, a standardized platform was designed and realized to enable research and experiments in the context of future mobility solutions. Conclusion: A clear separation between algorithm conceptualization and validation in a model-based simulation environment enabled efficient and riskless experiments and validation. The design of a reusable, low-cost, and energy-efficient hardware architecture utilizing a standardized software/hardware interface enables experiments, which would otherwise require resources like a large real-scale test track.Comment: 17 pages, 19 figues, 2 table