Results 51 to 60 of about 118,547,681 (99)
A survey on post‐quantum based approaches for edge computing security
The distribution of reviewed papers by focused area. Abstract With the development of technology and its integration with scientific realities, computer systems continue to evolve as infrastructure. One of the most important obstacles in front of quantum computers with high‐speed processing is that its existing systems cause security vulnerabilities ...
Aykut Karakaya, Ahmet Ulu
wiley +1 more source
Recently, smart intersections have emerged as a novel intelligent transportation system (ITS) solution that integrates traffic monitoring, optimal signal control, and even traffic safety. Although smart intersections have been prevalent in many cities, there are a few drawbacks in their practical operations.
Seongjin Lee +5 more
wiley +1 more source
Leveraging Cache-Based Side-Channel Attacks for Coverage-Guided Fuzzing [PDF]
Tato práce poskytuje přehled prvků ARMv8 architektury relevantních pro studium útoků postranními kanály založenými na pamětích cache. Dále zkoumá možnosti využití Flush+Flush útoku k extrakci informací o pokrytí kódu běžících programů na platformách ...
Jan Havránek
core
It’s TEEtime: Secure Interrupt Isolation for Normal-world Enclaves on Arm
Secure and direct peripheral access is an important building block for protecting sensitive applications on mobile and embedded devices: Otherwise, an untrusted OS or hypervisor can, for example, trivially intercept an app’s secrets when it renders them
Friederike Groschupp +5 more
doaj +1 more source
Towards Effective Depthwise Convolutions on ARMv8 Architecture
Depthwise convolutions are widely used in lightweight convolutional neural networks (CNNs). The performance of depthwise convolutions is mainly bounded by the memory access rather than the arithmetic operations for classic convolutions so that direct ...
Shen, Siqi +6 more
core
4.6-Bit Quantization for Fast and Accurate Neural Network Inference on CPUs
Quantization is a widespread method for reducing the inference time of neural networks on mobile Central Processing Units (CPUs). Eight-bit quantized networks demonstrate similarly high quality as full precision models and perfectly fit the hardware ...
Anton Trusov +3 more
doaj +1 more source
ARMv8-A System Semantics: Instruction Fetch in Relaxed Architectures [PDF]
Computing relies on architecture specifications to decouple hardware and software development. Historically these have been prose documents, with all the problems that entails, but research over the last ten years has developed rigorous and executable-as-
Alasdair Armstrong +13 more
core +2 more sources
Fast Gaussian Filter Approximations Comparison on SIMD Computing Platforms
Gaussian filtering, being a convolution with a Gaussian kernel, is a widespread technique in image analysis and computer vision applications. It is the traditional approach for noise reduction.
Ekaterina O. Rybakova +2 more
doaj +1 more source
Fast white-box implementations of dedicated ciphers on the ARMv8 architecture
Dedicated white-box ciphers concern the design of algorithms that withstand secret (key) extraction while executing in an insecure, fully explorable environment.
Rodrigues, F.C. +5 more
core +1 more source
Measuring and Exploiting Guardbands of Server-Grade ARMv8 CPU Cores and DRAMs [PDF]
In this paper, we present the results of our comprehensive measurement study of the timing and voltage guardbands in memories and cores of a commodity ARMv8 based micro-server.
Phong Vo +13 more
core +3 more sources

