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advbox

AdvBox是一款由百度安全实验室研发，在百度大范围使用的AI模型安全工具箱，目前原生支持PaddlePaddle、PyTorch、Caffe2、MxNet、Keras以及TensorFlow平台，方便广大开发者和安全工程师可以使用自己熟悉的框架。 AdvBox同时支持GraphPipe,屏蔽了底层使用的深度学习平台，用户可以通过几个命令就可以对PaddlePaddle、PyTorch、Caffe2、MxNet、CNTK、ScikitLearn以及TensorFlow平台生成的模型文件进行黑盒攻击。

adversarialnetspapers

The classical paper list with code about generative adversarial nets

audio-emotion-recognition

audio_adversarial_examples

Targeted Adversarial Examples on Speech-to-Text systems

awesome-deepfakes

Everything Deepfakes

awesome-fools

:skull: A collection of methods to fool the deep neural network :skull:

awesome-hacking

A collection of various awesome lists for hackers, pentesters and security researchers

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

baidunetdiskplugin-macos

For macOS.百度网盘 破解SVIP、下载速度限制~

black-box-audio

Targeted Adversarial Examples for Black Box Audio Systems

clamp

A Malware classifier dataset built with header fields’ values of Portable Executable files

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

df

Larger resolution face masked, weirdly warped, deepfake,

drebin

Drebin - NDSS 2014 Re-implementation

drebin-nodup

The Drebin Dataset contains about 50% duplicated samples. This is the list of unique samples.

framework-for-sv

Core source code of the Framework

grammarcnn

A CNN model for code generation.

hashingbasednn

Hashing-based DNNs defend against adversarial evasions in malware detection

i-vectors

ivector

introduction to iVectors with available speech data

ivector-xvector

Extract xvector and ivector under kaldi

ivector_denoising

ivector denoising method based on ICASSP'15 paper: ADDITIVE NOISE COMPENSATION IN THE I-VECTOR SPACE FOR SPEAKER RECOGNITION

ivectormatlabmsrit

I-Vector Speaker recognition system implemented with MSRIT in matlab

kaldi

This is now the official location of the Kaldi project.

lab_malgan

lab_seq-malgan

seq-malGAN

limited-blackbox-attacks

Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)

log_rnn_lstm

malgan

malware-gan

Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017