Deya Chatterjee's starred repositories
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Building-a-Simple-Chatbot-in-Python-using-NLTK
Building a Simple Chatbot from Scratch in Python (using NLTK)
summerschool2015
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
Adversarial-Examples-Reading-List
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
Face-Detection-in-Python-using-OpenCV
Face Detection with Python using OpenCV
adversarial-medicine
Code for the paper "Adversarial Attacks Against Medical Deep Learning Systems"
starter-kit
A starter kit for new chapters of WiMLDS
awesome-organiser-resources
A list of awesome resources for (tech) event organisers
mcs_2018_adversarial_attack
MCS 2018. Adversarial Attacks on Black Box Face Recognition
kervolution-under-adversarial-attack-pytorch
implement Kervolutional Neural Networks (CVPR, 2019) and compare with CNN under the white box attack
adversarial-attacks
Using FGSM, I-FGSM and MI-FGSM to generate and evaluate adversarial samples.
understanding_adversarial_examples
A jupyter notebook containing a walkthrough of how gradient based adversarial attacks work in 2 dimensions - Including both a white-box and black-box attack.
Clinical-IR-on-cancer-pathology-reports
Information retrieval from cancer pathology reports using deep learning and NLP
BlackMagicDesign
Black Box Adversarial Attacks
adversarialAttack
Detailed notebook for adversarial attacks
adversarial-attacks-seminar
Ressources for the seminar on Adversarial Attacks (March 22nd 2018)
Simple-Adversarial-Attacks
Examples of some adversarial attacks on VGG Network
Adversarial-Attacks
Generating Adversarial Examples and testing them.
Adversarial_Attacks_Against_DNN
This project focusses on creating an attacker against Deep Neural Networks making them misclassify an image. This is done to evaluate to robustness of the model.
Adversarial-Attacks
Practical course: Large Scale Machine Learning
adversarial-playground
Playing around with adversarial attacks and defenses
Adversarial-Attacks
Machine learning classifiers are highly vulnerable to adversarial examples. We would like to build a robust classifier which can correctly classify adversarial examples.
adversarial-images
Playing around with adversarial attacks on images