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Acquiring data to train deep learning-based object detectors on Unmanned Aerial Vehicles (UAVs) is expensive, time-consuming and may even be prohibited by law in specific environments. On the other hand, synthetic data is fast and cheap to access. In this work, we explore the potential use of synthetic data in object detection from UAVs across various application environments. For that, we extend the open-source framework DeepGTAV to work for UAV scenarios. We capture various large-scale high-resolution synthetic data sets in several domains to demonstrate their use in real-world object detection from UAVs by analyzing multiple training strategies across several models. Furthermore, we analyze several different data generation and sampling parameters to provide actionable engineering advice for further scientific research. The DeepGTAV framework is available at https://git.io/Jyf5j., Comment: The first two authors contributed equally. Github repository will be made public soon

While advances in quantum computing promise new opportunities for scientific advancement (e.g., material science and machine learning), many people are not aware that they also threaten the widely deployed cryptographic algorithms that are the foundation of today's digital security and privacy. From mobile communications to online banking to personal data privacy, literally billions of Internet users rely on cryptography every day to ensure that private communications and data stay private. Indeed, the emergence and growth of the public Internet and electronic commerce was arguably enabled by the invention of public-key cryptography. The key advantage offered by public-key cryptography is that it allows two parties who have never communicated previously to nevertheless establish a secure, private, communication channel over a non-private network (e.g., the Internet). Recent advances in quantum computing signal that we are on the cusp of our next cryptographic algorithm transition, and this transition to post-quantum cryptography will be more complicated and impact many more systems and stakeholders, than any of the prior migrations. This transition represents a major disruption within the IT industry and will broadly impact nearly every domain of our digital lives, from global commerce to social media to government and more. Cryptographic algorithm transitions take time and involve an extensive coordination effort across many stakeholders who are involved in building and operating the world's compute infrastructure. By preparing now for the upcoming transition to these new algorithms, we can ensure a more orderly, less costly, and minimally disruptive changeover., Comment: A Computing Community Consortium (CCC) white paper, 5 pages

The implications of sufficiently large quantum computers for widely used public-key cryptography is well-documented and increasingly discussed by the security community. An April 2016 report by the National Institute of Standards and Technology (NIST), notably, calls out the need for new standards to replace cryptosystems based on integer factorization and discrete logarithm problems, which have been shown to be vulnerable to Shor's quantum algorithm for prime factorization. Specifically, widely used RSA, ECDSA, ECDH, and DSA cryptosystems will need to be replaced by post-quantum cryptography (PQC) alternatives (also known as quantum-resistant or quantum-safe cryptography). Failure to transition before sufficiently powerful quantum computers are realized will jeopardize the security of public key cryptosystems which are widely deployed within communication protocols, digital signing mechanisms, authentication frameworks, and more. To avoid this, NIST has actively led a PQC standardization effort since 2016, leveraging a large and international research community. On January 31-February 1, 2019, the Computing Community Consortium (CCC) held a workshop in Washington, D.C. to discuss research challenges associated with PQC migration. Entitled, "Identifying Research Challenges in Post Quantum Cryptography Migration and Cryptographic Agility", participants came from three distinct yet related communities: cryptographers contributing to the NIST PQC standards effort, applied cryptographers with expertise in creating cryptographic solutions and implementing cryptography in real-world settings, and industry practitioners with expertise in deploying cryptographic standards within products and compute infrastructures. Discussion centered around two key themes: identifying constituent challenges in PQC migration and imagining a new science of "cryptographic agility"., Comment: A Computing Community Consortium (CCC) workshop report, 30 pages

Cellular data traffic almost doubles every year, greatly straining network capacity. The main driver for this development is wireless video. Traditional methods for capacity increase (like using more spectrum and increasing base station density) are very costly, and do not exploit the unique features of video, in particular a high degree of {\em asynchronous content reuse}. In this paper we give an overview of our work that proposed and detailed a new transmission paradigm exploiting content reuse, and the fact that storage is the fastest-increasing quantity in modern hardware. Our network structure uses caching in helper stations (femto-caching) and/or devices, combined with highly spectrally efficient short-range communications to deliver video files. For femto-caching, we develop optimum storage schemes and dynamic streaming policies that optimize video quality. For caching on devices, combined with device-to-device communications, we show that communications within {\em clusters} of mobile stations should be used; the cluster size can be adjusted to optimize the tradeoff between frequency reuse and the probability that a device finds a desired file cached by another device in the same cluster. We show that in many situations the network throughput increases linearly with the number of users, and that D2D communications also is superior in providing a better tradeoff between throughput and outage than traditional base-station centric systems. Simulation results with realistic numbers of users and channel conditions show that network throughput (possibly with outage constraints) can be increased by two orders of magnitude compared to conventional schemes., Comment: 12 pages, 9 figures, An overview paper submitted to Hindawi's journal of Advances in Electrical Engineering