Results 21 to 30 of about 6,871,078 (322)
Instruction Induction: From Few Examples to Natural Language Task Descriptions [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Large language models are able to perform a task by conditioning on a few input-output demonstrations - a paradigm known as in-context learning. We show that language models can explicitly infer an underlying task from a few demonstrations by prompting ...
Or Honovich +3 more
semanticscholar +1 more source
An Instruction Set Extension to Support Software-Based Masking
Transactions on Cryptographic Hardware and Embedded Systems, 2021 In both hardware and software, masking can represent an effective means of hardening an implementation against side-channel attack vectors such as Differential Power Analysis (DPA).
Si Gao +5 more
doaj +1 more source
RISC-V Instruction Set Extensions for Lightweight Symmetric Cryptography
Transactions on Cryptographic Hardware and Embedded Systems, 2022 The NIST LightWeight Cryptography (LWC) selection process aims to standardise cryptographic functionality which is suitable for resource-constrained devices.
Hao Cheng +4 more
doaj +1 more source
PalmTree: Learning an Assembly Language Model for Instruction Embedding [PDF]
Conference on Computer and Communications Security, 2021 Deep learning has demonstrated its strengths in numerous binary analysis tasks, including function boundary detection, binary code search, function prototype inference, value set analysis, etc.
Xuezixiang Li, Qu Yu, Heng Yin
semanticscholar +1 more source
Design and implementation of hardware-based dynamic instruction set randomization framework
网络与信息安全学报, 2017 All the existing ISR methods have some defects including stripping data from code segment is hard to accomplish,static ISR has fixed key and pseudo-random key is not secure.To introduce ISR technology into the se-curity protection of kernel layer and ...
San DU,Hui SHU,Fei KANG
doaj +3 more sources
Electronics, 2020 As a typical artificial intelligence algorithm, the convolutional neural network (CNN) is widely used in the Internet of Things (IoT) system. In order to improve the computing ability of an IoT CPU, this paper designs a reconfigurable CNN-accelerated ...
Ning Wu +4 more
semanticscholar +1 more source
QFEC ASIP: A Flexible Quad-Mode FEC ASIP for Polar, LDPC, Turbo, and Convolutional Code Decoding
IEEE Access, 2018 In this paper, we extend polar decoding function to our previous design, and propose a flexible quad-mode forward error correction application specific instruction-set processor (QFEC ASIP) that supports polar, low-density parity-check (LDPC), turbo, and
Wan Qiao, Dake Liu, Shaohan Liu
doaj +1 more source
An NFC on Two-Coil WPT Link for Implantable Biomedical Sensors under Ultra-Weak Coupling
Sensors, 2017 The inductive link is widely used in implantable biomedical sensor systems to achieve near-field communication (NFC) and wireless power transfer (WPT). However, it is tough to achieve reliable NFC on an inductive WPT link when the coupling coefficient is
Chen Gong +4 more
doaj +1 more source
A Magnetic-Balanced Inductive Link for the Simultaneous Uplink Data and Power Telemetry
Sensors, 2017 When using the conventional two-coil inductive link for the simultaneous wireless power and data transmissions in implantable biomedical sensor devices, the strong power carrier could overwhelm the uplink data signal and even saturate the external uplink
Chen Gong +3 more
doaj +1 more source
Sensors, 2017 For an inductive wireless power transfer (IWPT) system, maintaining a reasonable power transfer efficiency and a stable output power are two most challenging design issues, especially when coil distance varies.
Zhidong Miao, Dake Liu, Chen Gong
doaj +1 more source