tsm55555's repositories
Introduction-to-Data-Science
**大學資料科學導論簡報與程式作業
boundary-attack
Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).
FeatureSqueezing
Detecting Adversarial Examples in Deep Neural Networks
AAAAnimation
An ASCII Art animation program working with FFmpeg and Qt. Some code is written in assembly.
AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
DI-2-FGSM
Improving Transferability of Adversarial Examples with Input Diversity
FaceOff
Steps towards physical adversarial attacks on facial recognition
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
ImageNet-Datasets-Downloader
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
mini-Lisp-Interpreter
NCU Compiler Final Project
one-pixel-attack-keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
pedestrian-detection-in-hazy-weather
pedestrian detection in hazy weather
ppodds
聽說這個可以放README在Profile上
robust_physical_perturbations
Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018)
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0