GitHub / sampath9dasari / DNN-text-classifier-adversarial-attack
Implementation of Adversarial attack to generate adversarial samples of text that are misclassified by the LSTM based Classifier.
Stars: 0
Forks: 0
Open issues: 15
License: None
Language: Jupyter Notebook
Size: 120 MB
Dependencies parsed at:
85
Created at: about 5 years ago
Updated at: over 4 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago
Topics: adversarial-attacks, adversarial-machine-learning, machine-learning, tensorflow, text-classifier
requirements.txt
pypi
- Jinja2 ==2.11.2
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.2.1
- MarkupSafe ==1.1.1
- Pillow ==7.0.0
- Pygments ==2.6.1
- Send2Trash ==1.5.0
- Werkzeug ==1.0.1
- absl-py ==0.9.0
- adversarial-robustness-toolbox ==1.2.0
- astor ==0.8.1
- attrs ==19.3.0
- backcall ==0.1.0
- bleach ==3.1.4
- certifi ==2020.4.5.1
- chardet ==3.0.4
- cycler ==0.10.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- dill ==0.3.1.1
- entrypoints ==0.3
- future ==0.18.2
- gast ==0.2.2
- google-pasta ==0.2.0
- googleapis-common-protos ==1.51.0
- grpcio ==1.28.1
- h5py ==2.10.0
- idna ==2.9
- importlib-metadata ==1.6.0
- ipykernel ==5.2.1
- ipython ==7.9.0
- ipython-genutils ==0.2.0
- jedi ==0.17.0
- joblib ==0.14.1
- json5 ==0.9.4
- jsonschema ==3.2.0
- jupyter-client ==6.1.3
- jupyter-core ==4.6.3
- jupyterlab ==2.1.1
- jupyterlab-server ==1.1.1
- kiwisolver ==1.1.0
- matplotlib ==3.0.3
- mistune ==0.8.4
- nbconvert ==5.6.1
- nbformat ==5.0.6
- notebook ==6.0.3
- numpy ==1.18.3
- opt-einsum ==3.2.1
- pandas ==0.25.3
- pandocfilters ==1.4.2
- parso ==0.7.0
- pexpect ==4.8.0
- pickleshare ==0.7.5
- prometheus-client ==0.7.1
- promise ==2.3
- prompt-toolkit ==2.0.10
- protobuf ==3.11.3
- ptyprocess ==0.6.0
- pyparsing ==2.4.7
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- pytz ==2019.3
- pyzmq ==19.0.0
- requests ==2.23.0
- scikit-learn ==0.22.1
- scipy ==1.4.1
- six ==1.14.0
- tensorboard ==1.15.0
- tensorflow ==1.15.2
- tensorflow-datasets ==3.1.0
- tensorflow-estimator ==1.15.1
- tensorflow-hub ==0.8.0
- tensorflow-metadata ==0.21.2
- termcolor ==1.1.0
- terminado ==0.8.3
- testpath ==0.4.4
- tornado ==6.0.4
- tqdm ==4.45.0
- traitlets ==4.3.3
- urllib3 ==1.25.9
- wcwidth ==0.1.9
- webencodings ==0.5.1
- wrapt ==1.12.1
- zipp ==1.2.0