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May I ask, whether you generate these vectors in the txt files through structure2vec?
I think the json files in the data folder are generated though structure2vec from openssl's control flow graph, do I understand correctly?
Hello, I need the data set mentioned in your paper
The data set I need is"Dataset IV：This dataset contains vulnerable functions obtained from the vulnerability dataset in [18]. In total, it contains of 154vulnerable functions."
[18] Qian Feng, Rundong Zhou, Chengcheng Xu, Yao Cheng, Brian Testa, and Heng Yin. 2016. Scalable Graph-based Bug Search for Firmware Images. In ACM Conference on Computer and Communications Security (CCS’16).
But I didn't find the address of this data set in his paper. Could you help me
I want to know how you get ACFG,and you can provide your dataset?Thank you very much.
Would you give me the similarity testing set and large-graph subset etc
python3 and tensorflow2 support
Do you have in plan to upgrade the requirements?
How dose the features come from?
Hi,
When I looked at the data, I saw that in each line, you have features of each node. I'm wondering how you generated those features. I didn't find that in your paper, either. I really appreciate your reply. Thanks a lot.
May i ask whether your experimental result contain top1,top10 and so on?
Hi,
In the 4.7 section,i find the top-50 result could achieve over 80% accuracy.So i would like to get other result like top1 or top10.
training auc is equal validation auc?
in line 140 of the train.py
if (i % TEST_FREQ == 0):
auc, fpr, tpr, thres = get_auc_epoch(gnn, Gs_train, classes_train,
BATCH_SIZE, load_data=valid_epoch) #valid_epoch?
gnn.say("Testing model: training auc = {0} @ {1}".format(
auc, datetime.now()))
auc, fpr, tpr, thres = get_auc_epoch(gnn, Gs_dev, classes_dev,
BATCH_SIZE, load_data=valid_epoch)
gnn.say("Testing model: validation auc = {0} @ {1}".format(
auc, datetime.now()))partial results:
Initial training auc = 0.8385795480339078 @ 2021-01-14 10:49:18.571989
Initial validation auc = 0.8385795480339078 @ 2021-01-14 10:49:26.453895
EPOCH 1/100, loss = 0.6696747210700994 @ 2021-01-14 10:52:33.539342
Testing model: training auc = 0.9225966099742847 @ 2021-01-14 10:52:41.815191
Testing model: validation auc = 0.9225966099742847 @ 2021-01-14 10:52:49.352049
Model saved in ./saved_model/graphnn-model_best
EPOCH 2/100, loss = 0.6475605093730598 @ 2021-01-14 10:55:58.523499
Testing model: training auc = 0.9278334338892803 @ 2021-01-14 10:56:06.467269
Testing model: validation auc = 0.9278334338892803 @ 2021-01-14 10:56:14.051002so should I change it as the following?
if (i % TEST_FREQ == 0):
auc, fpr, tpr, thres = get_auc_epoch(gnn, Gs_train, classes_train,
BATCH_SIZE, load_data=None) #change valid_epoch into None
gnn.say("Testing model: training auc = {0} @ {1}".format(
auc, datetime.now()))
auc, fpr, tpr, thres = get_auc_epoch(gnn, Gs_dev, classes_dev,
BATCH_SIZE, load_data=valid_epoch)
gnn.say("Testing model: validation auc = {0} @ {1}".format(
auc, datetime.now()))May I ask, could you give me the plugin of IDA pro to extract the ACFG?
I found that there are only the results of the ACFGs in this project. And now I want to extract the ACFGs of other files. Could you give me the plugin to extract the ACFGs or tell me where can I get this plugin? Thank you.
solved
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