Attacking-Deep-Learning

Study Materials (links), Attack Plans of Huge network, know-how with code snippets

Study Materials by topic

I. Reinforcement learning

1. DQN

https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf
https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html
https://github.com/pytorch/tutorials/blob/master/intermediate_source/reinforcement_q_learning.py
https://becominghuman.ai/lets-build-an-atari-ai-part-1-dqn-df57e8ff3b26
https://becominghuman.ai/beat-atari-with-deep-reinforcement-learning-part-2-dqn-improvements-d3563f665a2c

II. Detection / Recognition

1. RCNN / Mask-RCNN

2. You-Only-Look-Once (YOLO)

3. Transformer

introduction:
https://medium.com/inside-machine-learning/what-is-a-transformer-d07dd1fbec04
https://arxiv.org/abs/1706.03762
https://nlp.stanford.edu/pubs/emnlp15_attn.pdf

Facebook detr:
https://ai.facebook.com/blog/end-to-end-object-detection-with-transformers/?__tn__=-UK-R
https://github.com/facebookresearch/detr?fbclid=IwAR1Mi3D8GrHQa9vKqYVPFxNjrcH3x9XBHMXN6e4vdbNQoiI2Eyh31h1Alkk

III. Generative models

1. Vanilla GAN

2. DCGAN

3. CGAN

Q. What is mode-collapsing?

Attack Plans

Datasets

Camera / Image Signal Processing (ISP)

1. Auto focus

https://www.eecs.yorku.ca/~abuolaim/eccv_2018_autofocus/dataset.html

2. Noise Dataset

https://noise.visinf.tu-darmstadt.de/

Face Detection / Recognition

Object Detection / Segmentation

http://cocodataset.org/

Pose Detection

https://posetrack.net/

:: Windows batch, download wget for windows from http://gnuwin32.sourceforge.net/packages/wget.htm  
For %%X in (a b c d e f g h i j k l m n o p q r) do (wget https://posetrack.net/posetrack18-data/posetrack18_images.tar.a%%X --no-check-certificate)  

Optical Flow

1.

2.

3.

4.

5.