LaMBdA: Learning-based Deobfuscation of MBA
Mixed boolean arithmetic deobfuscation using graph neural networks.
python train.py [-h] [--epochs | -e EPOCHS] [-gpu | -g DEVICE_ID] [--lr LR] [--big | -b] [--res | -r]
python test.py [-h] [--gpu | -g DEVICE_ID]
python train.py --epochs 420 --gpu 2 --lr 0.0001 --big --res
python test.py --gpu -1
| Argument |
Type |
Description |
| -h, --help |
None |
shows argument help message |
| -g, --gpu |
INT |
specifies device ID to use. [0, N] for GPU and -1 for CPU (default=-1) |
| -e, --epochs |
INT |
number of epochs to train (default=1000000) |
| -bs, --batch_size |
INT |
batch size (default=1) |
| -lr |
FLOAT |
learning rate (default=0.00005) |
| -b, --big |
BOOL |
enables usage of bigger graphs (default=True) |
| -r, --res |
BOOL |
enables interim result nodes (default=False) |
| Argument |
Type |
Description |
| -h, --help |
None |
shows argument help message |
| -g, --gpu |
INT |
specifies device ID to use. [0, N] for GPU and -1 for CPU (default=-1) |