IDL-Adversarial

Introduction

This repository contains code for the project "Defending against adversarial attacks" done by team 4, Introduction to Deep Learning course, CMU, Fall 2021.

Code is mostly in the form of Jupyter Notebooks. Python script files are provided. Each folder contains code for each stage of the project.

Original paper

Wang, J., Zhang, Z., Xie, C., Zhou, Y., Premachandran, V., Zhu, J., Xie, L., & Yuille, A.L. (2017). Visual Concepts and Compositional Voting. ArXiv, abs/1711.04451.

https://arxiv.org/abs/1711.04451

Datasets

VOC2010

http://host.robots.ox.ac.uk:8080/pascal/VOC/voc2010/

PASCAL-Part Dataset

http://roozbehm.info/pascal-parts/pascal-parts.html

Authors & code contribution

• Anh Le Hoang
  • Carnegie Mellon University
  • Pittsburgh, PA 15217
  • alehoang@andrew.cmu.edu
  • Code contribution: Part 1, 2, 4
• Nicholas Magal
  • Carnegie Mellon University
  • Pittsburgh, PA 15217
  • nmagal@andrew.cmu.edu
  • Code contribution: Part 2, 3
• Talha Faiz
  • Carnegie Mellon University
  • Pittsburgh, PA 15217
  • mfaiz@andrew.cmu.edu
  • Code contribution: Part 1, 2
• Yi-Jing Sie
  • Carnegie Mellon University
  • Pittsburgh, PA 15217
  • ysie@andrew.cmu.edu
  • Code contribution: Part 3, 5