lesliezhang1314 Goto Github PK
Name: Ke ZHANG
Type: User
Company: UESTC CS-> CUHK IE
Bio: Lab of Applied Security Research (LASR). PhD student at CUHK IE.
Location: New Territories, Hong Kong
Name: Ke ZHANG
Type: User
Company: UESTC CS-> CUHK IE
Bio: Lab of Applied Security Research (LASR). PhD student at CUHK IE.
Location: New Territories, Hong Kong
Python library for adversarial attacks and defenses (evasion, poisoning) for neural networks with multiple framework support
An extensible crawler for downloading Android applications in third-party markets.
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018
Codes for reproducing the experimental results in "CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks", published at AAAI 2019
A complete computer science study plan to become a software engineer.
Contains Attack labs
CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al. 2017)
FitNets: Hints for Thin Deep Nets
Assignments for course IERG 6130: Reinforcement Learning and Beyond
Fast and easy testing of imagenet models
Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
Open MMLab Detection Toolbox and Benchmark
Neural MMO - A Massively Multiagent Game Environment
3D Client for https://github.com/jsuarez5341/neural-mmo
Builds a blockchain network and application to track donations to non-profit organizations, using Amazon Managed Blockchain
学习笔记整理📚
CME211 Notes | Outline ->
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Some basic examples of playing with RL
Security Guide for Developers (实用性开发人员安全须知)
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
:house_with_garden: A Book for Anyone to Get Started with Unix
Course: Information Security in ZJU Time: 2017/03/01 - 2017/07/01 Teacher: HTL
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.