This is the submissions of the UCNesl team during the Competition on Adversarial Examples and Defenses which is held as a part of NIPS'17 conference.

• Moustafa Alzantot (malzantot) - Leader for targeted attack.
• Yash Sharma (ysharma1126) - Leader for non-targeted attack.
• Supriyo Charkaborty (supriyogit)
• Tianwei Xing (TianweiXing)
• Sikai Yin (Sikai Yin)
• Prof. Mani Srivastava

The attacks in this repo were used as submissions for the final round of the competition.

Round 2 submission by team UCNesl can be found in this repo.

The following software is required to run this package:

• Python 2.7 with Numpy and Pillow Packages.
• Docker or NVIDIA Docker for GPU support.

• Download and extract the competition toolkit.
• Under the competition toolkit run the script ./download_data.sh to download the development dataset.
• Copy the attacks from this repo (e.g. ucnesl_targeted, ucnesl_nontargeted to the appropriate folders under the competition toolkit directory (e.g. sample_targeted, and sample_attacks for targeted and non-targeted attacks respectively).
• Under each attack folder, run the ./download_checkpoints.sh script to download the models checkpoints.
• Finally, you can run and evaluate the attacks by using run_attacks_and_defenses.sh script in the competition toolkit directory.

Note For GPU-support, you should edit the the line #43 of the run_attacks_and_defenses.sh to add the following argument --gpu to the python command.