Pdf Practical Approaches Toward Deep Learning Based Cross Device

Deep Learning Based Mobile Assistive Device For Visually Impaired This work presents profiling based cross device power sca attacks using deep learning techniques on 8 bit avr microcontroller devices running aes 128. first, we show the practical issues that arise in these profiling based cross device attacks due to significant device to device variations. Firstly, we show the practical issues that arise in these profiling based cross device attacks due to significant device to device variations.

Training Deep Learning Models To Work On Multiple Devices By Cross View a pdf of the paper titled practical approaches towards deep learning based cross device power side channel attack, by anupam golder and 5 other authors. Firstly, we show the practical issues that arise in these profiling based cross device attacks due to significant device to device variations. In 2017, cagli et al. [5] proposed a deep learning based approach utilizing convolutional neural networks (cnns) to provide an end to end profiling strategy, even in presence of trace misalignments. Anupam golder, debayan das, josef danial, santosh ghosh, shreyas sen, arijit raychowdhury. practical approaches toward deep learning based cross device power side channel attack. ieee trans. vlsi syst., 27 (12):2720 2733, 2019. [doi].

Pdf A Deep Transfer Learning Approach For Cross Subject Recognition In 2017, cagli et al. [5] proposed a deep learning based approach utilizing convolutional neural networks (cnns) to provide an end to end profiling strategy, even in presence of trace misalignments. Anupam golder, debayan das, josef danial, santosh ghosh, shreyas sen, arijit raychowdhury. practical approaches toward deep learning based cross device power side channel attack. ieee trans. vlsi syst., 27 (12):2720 2733, 2019. [doi]. This article, for the first time, demonstrates cross device deep learning side channel attack (x deepsca), achieving an accuracy of 99 9%, even in presence of significantly higher inter device variations compared to the inter key variations. In this study, we define a new environment in which the profiling and attack devices do not use the same target chip, different device, and propose a novel dl based profiled sca using uda on different device. This work presents profilingbased cross device power sca attacks using deep learning techniques on 8 bit avr microcontroller devices running aes 128. first, we show the practical issues that arise in these profilingbased cross device attacks due to significant device to device variations. This work presents profiling based cross device power sca attacks using deep learning techniques on 8 bit avr microcontroller devices running aes 128.