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CEDAR

A novel approach for silent CFE detection based on heterogeneous relation learning, which detects silent CFEs by localizing and hardening vulnerable instructions.

Runtime Environment:

Ubuntu 16.04 with 4.15 kernel;

Pytorch 1.10.2.

Usage:

Execute the scripts in the "Vulnerable instruction localization" folder to train on node classification task:

python3 main.py

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Silent Control Flow Error Detection Approach via Heterogeneous Relation Learning

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