Abstract: Graphics Processing Units (GPUs) are integral components to most modern computing devices, used to optimize the performance of today’s graphics and multi-media heavy workloads. They are also increasingly integrated on heterogeneous computing servers to accelerate a broad range of applications. Meanwhile, recent trends in security show attacks on modern systems that originate in hardware […]
138 ISEC High-Q Strong Coupling Capacitive-Gap Transduced RF Micromechanical Resonators Abstract: This talk presents a hierarchical, intuitive, and technology agnostic procedure for designing RF channel-select filters, followed by an actual demonstration that consists of 96 mechanically coupled capacitive-gap-transduced polysilicon disk resonators, centered at 224MHz with only 0.1% (9kHz) bandwidth, all while attaining 2.7dB insertion loss […]
Location: ISEC 140 Persistent Fault Attacks in Practice Abstract: Persistent fault analysis (PFA) was proposed at CHES 2018 as a novel fault analysis technique. It was shown to completely defeat standard redundancy based countermeasure against fault analysis. The original PFA was demonstrated with rowhammer-based fault injections. However whether such an analysis can be applied to […]
Location: ISEC 136 It’s a bit of a stretch: selective, flexible mechanical sensors towards VR, healthcare, and robotics applications Abstract: In this talk, Kris Dorsey will discuss work related to mechanically “programming” soft sensors to respond to a particular mechanical deformation. Advances in 3D-printing, soft polymer fabrication, and other rapid fabrication processes have made the […]
Location: ISEC 138 Ensuring Hardware Cybersecurity from a Cross-Layer Perspective Abstract: The rapid development of the semiconductor industry has significantly increased the number, complexity, and applicability of commercial electronics over the past few decades. As a result, the security and assurance of hardware are playing a critical role in the cyberscape of modern society, such […]
Location: ISEC 138 Title: Learning Low-complexity Models from the Data – Geometry, Optimization, and Applications Abstract: Today we are collecting a massive amount of data in forms of images and videos, that we want to learn from the data themselves to extract useful information and to make predictions. The data are high-dimensional, but often possess […]
ISEC 138 Coded Computing for Next-Generation Information Processing Systems Abstract: Modern networks are designed to facilitate information processing in large-scale, highly distributed environments that connect humans with smart machines. Information collected in such networks is often privacy-sensitive, such as healthcare records, financial transactions, or geolocation data. Moreover, these networks often need to operate in unknown […]
Location: ISEC 136 Next Generation of Smart Wireless World: from High Data-Rate Mm-wave Directional Arrays to Reliable and Secured IoT Connectivity for 5G and Beyond Abstract: The next generation of smart wireless world requires massive and reliable connectivity as well as high datarate communication and sensing. Consequently, the immediate response of the wireless world is […]
Dr. Xin Zhang, Professor, Boston University Location: 138 ISEC Metamaterials have been intensively studied and applied to a broad range of practical applications ranging from wireless communications to magnetic resonance imaging. Photonic metamaterials consisting of subwavelength “meta-atoms” have received enormous interest due to their extraordinary and unprecedented optical properties. Specifically, the effective permittivity and permeability […]
Location: ISEC 138 Causality: From Learning to Generative Models Abstract: Causal inference is fundamental for multiple disciplines ranging from medical research to engineering, statistics, and economics. It is also central in machine learning and is now becoming a core component of artificial intelligence research. Although causal inference has been studied for a long time in […]