ngoclesydney
I am a lecturer in cyber security at University of Wollongong with a demonstrated history of working in the higher education industry.
University of WollongongWollongong
Pinned Repositories
Anomaly-Detection-with-Swat-Dataset
Develope novel security metric using Deep-Learning to detect anomaly attacks into the critical infrastructure systems. This metric will be tested by Secure Water Treatment (SWaT) Dataset.
Cloud-Computing-Infrastructures
This subject introduces the concepts and implementation of cloud computing infrastructure. This subject is heavily influenced by industry interaction, and includes hands-on labs and workshops using commonly found tools within the cloud infrastructure industry.
CompTIA-Security-SY0-501-Complete-Course-and-Practice-Exam
CompTIA Security+ (SY0-501): Complete Course and Practice Exam, published by Packt
Cyber-Security-for-Mobile-Platforms
The subject provides an in-depth technical overview of mobile security architectures, new security risks and threats of modern mobile platforms and operating systems. Lab tutorials provide students with programming techniques (Android) in Cryptography, Network security, and Database security, and security tools in mobile penetration testing.
Cyber_Security_Essential
Cyber Security Essentials The subject allows students to learn cyber-attack techniques used in practice, and methods to defend against such attacks using industry standard tools and techniques. Topics include cyber-attacks and defences, web security, firewalls, intrusion detection systems along with security services. Lab tutorials is diverse with exploring popular kinds of attacks and countermeasures including SQL injections, XSS, Code executions, Phishing and Pharming, TCP/IP based attacks… and configure a firewall system, IDS, IPS.
Deep_Learning_Coursera
Hands-on-Machine-Learning-for-Cyber-Security
Hands-On Machine Learning for Cybersecurity, published by Packt
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
moodle-local_amigo
The Moodle amigo observes your activity across the whole session, analyses it and pokes you about different stuff that affects you.
ngoclesydney's Repositories
ngoclesydney/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
ngoclesydney/Tensorflow-Colab
Studying Tensorflow with colab
ngoclesydney/UTS_ML2019_Main
Learning Materials for "Machine Learning" @ UTS, Spring 2019
ngoclesydney/Android-SEC-Touch
Tool for Android security
ngoclesydney/Android_FaceAuth
ngoclesydney/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
ngoclesydney/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
ngoclesydney/awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
ngoclesydney/BookCode
Source code for my books
ngoclesydney/colabtools
Python libraries for Google Colaboratory
ngoclesydney/coursera-deep-learning
Solutions to all quiz and all the programming assignments!!!
ngoclesydney/CTF-notes
Everything needed for doing CTFs
ngoclesydney/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
ngoclesydney/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
ngoclesydney/Deep_Learning
added all materials
ngoclesydney/deep_learning_object_detection
A paper list of object detection using deep learning.
ngoclesydney/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
ngoclesydney/dirtycow.github.io
Dirty COW
ngoclesydney/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
ngoclesydney/Hands-On-Artificial-Intelligence-for-Cybersecurity
Hands-On Artificial Intelligence for Cybersecurity, publised by Packt
ngoclesydney/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
ngoclesydney/learn-machine-learning-in-two-months
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
ngoclesydney/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
ngoclesydney/MAD-GANs
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
ngoclesydney/minicps
MiniCPS: a framework for Cyber-Physical Systems real-time simulation, built on top of mininet
ngoclesydney/ml-foundation-class
VietAI Machine Learning Foundation Class Material
ngoclesydney/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
ngoclesydney/py-spy
Sampling profiler for Python programs
ngoclesydney/swat-seq2seq
Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks
ngoclesydney/theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.