Open labba opened 8 years ago
Hi,
Congratulations, you are the first known user of this tool!. As you said, the instructions and documentation is missing. I'm sorry about it. This tool is still under heavy development and i have to commit and push some new code and examples. I will leave this bug open to let know when it is ready (hopefully i will resume the development soon).
Thanks!
thanks!
I updated the code and instructions for the generation. Training will be improved soon!
thanks for the update i will check it out and will give feedbacks
hi, i'm trying to use this but it keep failing..
command line used: ./neural-fuzzer.py --valid-seeds "path\samples\" seeds "app_path\app @@"
the application take a file path as an input argv (like afl)
after a while getting an issue:
Using Theano backend. Using ./test-916378050145 corpus length: 0 total chars: 0 set([]) nb sequences: 0 Vectorization... Build model... Iteration 0 Epoch 1/1 Traceback (most recent call last): File "./neural-fuzzer.py", line 258, in
model.fit(X, y, batch_size=128, nb_epoch=1)
File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 408, in fit
sample_weight=sample_weight)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1053, in fit
callback_metrics=callback_metrics)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 812, in _fit_loop
callbacks.on_epoch_end(epoch, epoch_logs)
UnboundLocalError: local variable 'epoch_logs' referenced before assignment