Research Artifact for paper "Decompiling x86 Deep Neural Network Executables"

NIAID Data Ecosystem2026-05-02 收录

神经网络逆向工程

二进制程序分析

数据链接：

https://zenodo.org/record/7219866 数据链接链接失效反馈

官方服务：

资源简介：

Research Artifact for USENIX Security 2023 paper "Decompiling x86 Deep Neural Network Executables"

创建时间：

2024-07-15

BinCoFer数据集

二进制程序分析

软件安全

BinCoFer数据集是由华中科技大学网络空间安全与工程学的研究人员创建的，包含150个二进制文件和102个第三方库。该数据集旨在用于验证BinCoFer工具在检测二进制程序中第三方库重用方面的性能。BinCoFer是一种用于检测二进制程序中重用第三方库的工具，它采用一种新颖的三阶段净化策略来减少特征库中的冗余，并提高检测效率。

arXiv2025-04-28 更新560

BLADE DATASET

二进制程序分析

第三方库识别

This is the dataset of Paper/Tool BLADE, an Binary TPL detection tool.

Figshare2026-02-01 更新40

Long-Range Indirect Control-Flow Prediction in Stripped Binaries via Dual Virtual Hubs and Multi-Task Graph Learning

二进制程序分析

控制流恢复

# ICFlowNet Data This directory contains the data package used by ICFlowNet. It includes ELFbinaries, dynamic-control-flow ground truth, the LLVM source tree used with theproject, and a model file.

Zenodo2026-04-29 更新20

Static Stack-Preserving Intra-Procedural Slicing of WebAssembly Binaries

WebAssembly静态切片

二进制程序分析

# About this artifact This artifact contains the implementation and the results of the evaluation of a static slicer for WebAssembly described in the ICSE 2022 paper titled "Static Stack-Preserving In

NIAID Data Ecosystem50

Benchmarks for Comparing Binary-Level Symbolic Execution Speed

符号执行性能评估

二进制程序分析

This dataset contains a reproducible computing environment as well as a set of synthetic benchmark applications for comparing symbolic execution speed at the binary level of several symbolic execution

Zenodo2024-06-30 更新30

Research Artifact for paper "Decompiling x86 Deep Neural Network Executables"

资源简介：

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