brysef / rfml Goto Github PK

Hi Bryse,
I've added some for loops to your adversarial_evasion.py example to produce the plot below, and it seems like you're digitally inserting the FGSM attack directly into the data the eavesdropper receives, not adding it to your transmission pre-channel as in the paper this tutorial is associated with. Is there a simple way to do this with your API?
Best,
Kyle

@brysef Did you find irregularities with the RadioML dataset? Can you look at this please?

Hi, this seems like it was a great tutorial section. The notebooks are very helpful, but do you happen to have any slides that include the intro portion of the talk?

I have downloaded the dataset, but encountered the following error when importing the dataset. How can I fix it?

ValueError Traceback (most recent call last)
Cell In[22], line 1
----> 1 dataset = load_RML201610A_dataset(path=data_path)
2 print(len(dataset))
3 pprint(dataset.get_examples_per_class())

File G:\xxxcode\rfml-master\notebooks..\rfml\data\converters\rml_2016.py:129, in load_RML201610A_dataset(path)
121 UNPICKLED_PATH = "RML2016.10a_dict.pkl"
123 loader = RML2016DataLoader(
124 cache_path=CACHE_PATH,
125 remote_url=REMOTE_URL,
126 unpickled_path=UNPICKLED_PATH,
127 warning_msg=WARNING_MSG,
128 )
--> 129 return loader.load(path=path)

File G:\xxxcode\rfml-master\notebooks..\rfml\data\converters\rml_2016.py:35, in RML2016DataLoader.load(self, path)
30 if not os.path.exists(path):
31 raise ValueError(
32 "If path is provided, it must actually exist. Provided path: "
33 "{}".format(path)
34 )
---> 35 return self._load_local(path=path)
37 # If this function has previously been called before to fetch the dataset from the
38 # remote, then it will have already been cached locally and unpickled.
39 if os.path.exists(self.UNPICKLED_PATH):

File G:\xxxcode\rfml-master\notebooks..\rfml\data\converters\rml_2016.py:53, in RML2016DataLoader._load_local(self, path)
51 for iq in data[(mod, snr)]:
52 builder.add(iq=iq, Modulation=mod, SNR=snr)
---> 53 return builder.build()

File G:\xxxcode\rfml-master\notebooks..\rfml\data\dataset_builder.py:156, in DatasetBuilder.build(self)
150 def build(self) -> Dataset:
151 """Build the Dataset based on the examples that have been added.
152
153 Returns:
154 Dataset: A compiled dataset consisting of the added examples.
155 """
--> 156 df = pd.DataFrame(self._rows, columns=self._keys)
157 return Dataset(df)

File G:\Users\xxx\anaconda3\envs\LYY2\Lib\site-packages\pandas\core\frame.py:675, in DataFrame.init(self, data, index, columns, dtype, copy)
673 raise ValueError("index cannot be a set")
674 if columns is not None and isinstance(columns, set):
--> 675 raise ValueError("columns cannot be a set")
677 if copy is None:
678 if isinstance(data, dict):
679 # retain pre-GH#38939 default behavior

ValueError: columns cannot be a set