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adversarial-robustness-toolbox

Python library for adversarial attacks and defenses (evasion, poisoning) for neural networks with multiple framework support

android-apps-crawler

An extensible crawler for downloading Android applications in third-party markets.

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

clever-robustness-score

Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018 ​​​​​​​

cnn-cert

Codes for reproducing the experimental results in "CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks", published at AAAI 2019

coding-interview-university

A complete computer science study plan to become a software engineer.

compsecattacklabs

Contains Attack labs

crown-robustness-certification

CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions

deep_mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

detecting-adversarial-samples

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al. 2017)

fitnets

FitNets: Hints for Thin Deep Nets

ierg6130-assignment

Assignments for course IERG 6130: Reinforcement Learning and Beyond

imagenet-validation.torch

Fast and easy testing of imagenet models

iptv.androidbox

lid_adversarial_subspace_detection

Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".

mmdetection

Open MMLab Detection Toolbox and Benchmark

neural-mmo

Neural MMO - A Massively Multiagent Game Environment

neural-mmo-client

3D Client for https://github.com/jsuarez5341/neural-mmo

non-profit-blockchain

Builds a blockchain network and application to track donations to non-profit organizations, using Amazon Managed Blockchain

note

学习笔记整理📚

notes_cme211

CME211 Notes | Outline ->

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

rlexample

Some basic examples of playing with RL

security-guide-for-developers

Security Guide for Developers (实用性开发人员安全须知)

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

the-unix-workbench

:house_with_garden: A Book for Anyone to Get Started with Unix

xda

zju_2_2_information-security

Course: Information Security in ZJU Time: 2017/03/01 - 2017/07/01 Teacher: HTL