Kokyou's repositories
mutation_tool
A mutation testing tool for DNN systems
wellido
あらら
adatest
Find and fix bugs in natural language machine learning models using adaptive testing.
adversarial-examples
Code for the paper: "Adversarial Examples for Models of Code"
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
code2seq
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
code2vec
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
congruency
[TPAMI2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"
deepWordBug
CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
DenseNet-Cifar10
Train DenseNet on Cifar-10 based on Keras
Double-Win-Quant
[ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inference" by Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin
Guided-Mutation-ICST-2021
This is the Code and Data Repository of the paper accepted for publication at ICST 2021:
keras-attention-mechanism
Attention mechanism Implementation for Keras.
keras-contrib
Keras community contributions
mutmut
Mutation testing system
one-pixel-attack-keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
OpenAttack
An Open-Source Package for Textual Adversarial Attack.
Project_CodeNet
This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX
TestRank
This is an implementation of the paper "TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks" in NeurIPS'2021.
TestSelection
Test Selection of Deep Learning
TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP
wide_resnets_keras
Keras implementation + pretrained weights for "Wide Residual Networks"