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adversarial-examples-reading-list

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

causaltreedtr

Repository for the paper "Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine" published in MLHC 2022

cyber-security-resources

datasets

CSV datasets used in Plotly API examples

decision-tree

Implements Decision tree classification and regression algorithm from scratch in Python.

decision-tree-cart

Simple implementation of CART algorithm to train decision trees

decision-tree-scratch-implementation

A very simple, and minimal commented code of a decision tree classifier in python with a simple dataset of classifying three different kinds of owls.

deep-explanation-penalization

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

excessive-invariance

Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"

fagtb

fair-classification

Python code for training fair logistic regression classifiers.

fairml

fairness-comparison

Comparing fairness-aware machine learning techniques.

fedot

Automated modeling and machine learning framework FEDOT

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

machine-learning-algorithms-from-scratch

Implementing machine learning algorithms from scratch.

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-from-scratch-1

neural-decision-forests

An implementation of the Deep Neural Decision Forests in PyTorch

provably-robust-boosting

Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]

python-machine-learning

Python Machine Learning Algorithms

qlaci

A clone of qlaci, an R package for Q Learning, from The Methodology Center at Penn State University. Not currently maintained.

restricted-trl

Restricted Tree-based Reinforcement Learning Simulation

robusttrees

Robust Decision Trees Against Adversarial Examples (ICML 2019, 20 min long talk)

scikit-learn

scikit-learn: machine learning in Python

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

tempotron

a spiking neural network module, tempotron for classification