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# Description
Explain why we're running this and what we expect.
**Planned Start Date:**
**Depends on Previous Experiment?** Y/N
# Train Command
```bash
python train.py \
--name "mul…
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I don’t understand what section 21.6 is about… the title seems to suggests it is about IP Fragmentation and Reassembly Attacks, but elsewhere the spec already prohibits IP Fragmentation in section 14…
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(Broken out of #3214.)
> frames in multiple packets in order to make
- Could be read as implying sequencing, I suggest removing /in order/ or saying /to ensure that
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```
#load datasets
X = np.load("indiana_XIMAGE_VECTORS_train.npy")
X_t = np.load("indiana_XIMAGE_VECTORS_test.npy")
Y = to_categorical(np.array(list(report_df_train["BINARY"])))
Y_t = to_categori…
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Hi, I would like to thank you for the refreshing paper.
I have a question regarding the experiments of fewer labeled training data (Table 4 in the main paper and Table 8 in Appendix). I wonder whethe…
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When I try to run the wdqn codes, I find some errors in dqn.py code, in function WarmDQN(base).__init__(), and it fail to train wdqn.
` if self.memory_spec['warmup_memory_path']!='':
…
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hello, i see the pretrained model in this repository has not trained with vgg loss and adv loss. in your paper, you finetune the model by λ1 = 0.01; λ = 1; λadv = 0.005, so i have tried to finetune th…
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`kl = tf.reduce_mean(compute_kld( p_logit , p_logit_r ))
grad_kl = tf.gradients( kl ,r_tensor)[0]
r_vadv = tf.stop_gradient(grad_kl)
r_vadv = make_unit_norm( r_vadv )/3.0
p_logit_no_gradient = tf.…
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Hi there,
I have run the official UCF101 scenario example on GPU, but the result doesn't look right: the accuracy is the same for legitimate and adversarial examples:
```json
"results": {
…
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Hi,
This is about the audio preprocessing function in the Sincnet example.
In MITRE's slides, it indicates that adv examples would be 5sec chunks, while librispeech are variable length recordings wi…