Published October 16, 2024 | Version v1
Dataset Open

ACSAC_ML_SCA_EVA Artifacts

Description

The artifacts for ACSAC 2024 paper R+R: Demystifying ML-Assisted Side-Channel Analysis Framework: A Case of Image Reconstruction

Files

Files (41.6 GB)

Name Size Download all
md5:a72aad82d728f0266058210dd8db06a3
21.6 MB Download
md5:55cae5202e8f01ea98d38cfbeb080004
41.6 GB Download

Additional details

Dates

Accepted
2024

Software

Repository URL
https://github.com/zhenzhilai/ACSAC_ML_SCA_EVA
Programming language
Python