whitesecurity Goto Github PK

-fix-code-vuldeepecker-a-deep-learning-based-system-for-vulnerability-detection

VulDeePecker

aachartkit

📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

adv-dnn-ens-malware

adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

advertorch

A Toolbox for Adversarial Robustness Research

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

an-empirical-evaluation-of-adversarial-robustness-under-transfer-learning

Exploring Adversarial Defense Robustness on Transfer Learning

armory

ARMORY Adversarial Robustness Evaluation Test Bed

attack-and-defense-methods

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

augmentation

Holds the data and scripts to perform data augmentation of medical images

autoencoder

Convolutional Autoencoder with SetNet in PyTorch

awesome-ai-testing

awesome-ml-sp-papers

A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

awesome-physcial-adversarial-examples-on-computer-vision

A Paperlist and Related resources of Physical Adversarial Examples on Computer Vision

awesome-xai

Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

backdoor

Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

birdnn

bluff

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

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"

contranet

This is the official implementation of ContraNet (NDSS2022).

dan_boneh-courserlearing

browser and not

data-augmentation-for-yolov5

This approach uses Data Augmentation to generate new samples given a training dataset.

deepconcolic

Concolic Testing for Deep Neural Networks

deeplesion_ct_analysis

Analysis of Deep Lesion CT dataset to identify potential improvements to CT scans for lesion identification

detectors_review

diversity-driven-adversarial-attack