SIT719

This repository provides all the scripts and datasets used in SIT719 - Analytics for Security And Privacy, Deakin University.

Content

Week 1

• Python Intro

Week 2

• Programming Python using numpy, pandas
• NumPy's Structured Arrays
• Numpy Tutorial used in Class
• Pandas Tutorial used in Class

Week 3

• Supervised ML - Fraud & Credit Card Data detection

Week 4

• Experiment with WEKA

Week 5

• Supervised ML - Fraud & Credit Card Data detection - Various algorithms
• End-to-end ML project delivery

Week 6

• Experiment with WEKA II
• Outlier Detection using PyOD

Week 7

• Poisoning Attack

Week 8

• ARX tool (https://github.com/adnandeakin/2020-S2/blob/master/workshop08%5B80%5D.pdf)

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Week 9

• Differential privacy I

Week 10

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Week 11

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