Code for "AdvDrop: Adversarial Attack to DNNs by Dropping Information(ICCV 2021)."

We highly recommend using conda.

conda create -n advdrop_env python=3.7
source activate advdrop_env

After activating the virtual environment, install pytorch, numpy and torchattacks with:

pip install --user [the package name]

Download dataset.

python infod_sample.py

• Parameters can be speicified in infod_sample.py.

• We refered Michael's code for JPEG (torch version) part.
• We referred [Harry's code style] (https://github.com/Harry24k/adversarial-attacks-pytorch)