Code for ICASSP2019 work

The focus of this research is on exploring how little information we need to generate adversarial attacks on a targeted model

Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
config		config
.gitignore		.gitignore
Python.gitignore		Python.gitignore
README.md		README.md
attacks.py		attacks.py
carlini_wagner_attack.py		carlini_wagner_attack.py
cleverhans_wrapper.py		cleverhans_wrapper.py
features.py		features.py
file_io.py		file_io.py
inference.py		inference.py
inputs.py		inputs.py
main.py		main.py
model.py		model.py
temp.py		temp.py
train.py		train.py
train.sh		train.sh
utils.py		utils.py
utils_tf.py		utils_tf.py

VinodS7/icassp2020