Hacking Thingz Powered By Machine Learning - ICON A
Hacking Thingz Powered By Machine Learning
Instructors - Clarence Chio & Anto Joseph
Pre-Requisites - Basic familiarity with Linux
Python scripting knowledge is a plus, but not essential
Abstract - "HACKING THINGZ POWERED BY MACHINE LEARNING" is a hands-on workshop that gives attendees a crash course in performing practical adversarial attacks on modern technology powered by machine learning. This will NOT be an intro to ML class - do that on your own time online before or after the class - deep ML knowledge is definitely *not* required. We will perform mischief on ML systems that most tech-savvy people interact with on a daily basis: face recognition, (smartphone authentication) speech recognition, (home assistants) and web application firewalls (need we say more?) ;) We won't just be explaining the theory and tomfoolery behind these attacks - we'll walk you through each step of each attack and show you how *absolutely anyone* can hack systems like these with just a little bit* of background in ML hacking.
* This is an intermediate technical class suitable for attendees with some ability to read and write basic Python code. To get the most out of this workshop, surface-level understanding of machine learning is good. (i.e. be able to give a one-line answer to the question “What is machine learning?”)
Required Materials - Latest version of virtualbox Installed
Administrative access on your laptop with external USB allowed
At least 20 GB free hard disk space
- At least 4 GB RAM (the more the merrier)
Hacking Thingz Powered By Machine Learning
Instructors - Clarence Chio & Anto Joseph
Pre-Requisites - Basic familiarity with Linux
Python scripting knowledge is a plus, but not essential
Abstract - "HACKING THINGZ POWERED BY MACHINE LEARNING" is a hands-on workshop that gives attendees a crash course in performing practical adversarial attacks on modern technology powered by machine learning. This will NOT be an intro to ML class - do that on your own time online before or after the class - deep ML knowledge is definitely *not* required. We will perform mischief on ML systems that most tech-savvy people interact with on a daily basis: face recognition, (smartphone authentication) speech recognition, (home assistants) and web application firewalls (need we say more?) ;) We won't just be explaining the theory and tomfoolery behind these attacks - we'll walk you through each step of each attack and show you how *absolutely anyone* can hack systems like these with just a little bit* of background in ML hacking.
* This is an intermediate technical class suitable for attendees with some ability to read and write basic Python code. To get the most out of this workshop, surface-level understanding of machine learning is good. (i.e. be able to give a one-line answer to the question “What is machine learning?”)
Required Materials - Latest version of virtualbox Installed
Administrative access on your laptop with external USB allowed
At least 20 GB free hard disk space
- At least 4 GB RAM (the more the merrier)