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On “Valve secrets spill over in new Steam documentary app”
Intermediate. Assumes working knowledge.
573K views8 years ago1 recommendation
AI and machine learningSecurityNeural networks and deep learningExploits and vulnerabilities
3kliksphilip explains how Valve's VACnet uses deep learning to analyze player behavior and flag potential cheaters in CS:GO.
I went through, and tried to summarise everything said in the recent GDC presentation. You can find the original video here: youtu.be/ObhK8lUfIlc Also the part where I predicted all this stuff before it was cool: youtu.be/x7D76z4k0Kk?t=4m25s - Intro - Cheating and the impact it has in CS:GO - The Trust Factor - Existing anti-cheat methods (VAC) - Overwatch - Improving Overwatch with deep learning? - Has VACNET improved overwatch / itself so far? - How is the information collected / analysed? - Fun facts, figures and hardware - Q&A and other observations - Conclusion Check out my channels: ● 3kliksphilip: youtube.com/3kliksphilip ● 2kliksphilip: youtube.com/2kliksphilip ● kliksphilip: youtube.com/kliksphilip Other information you might like: ● Website: 3kliksphilip.com ● Twitter: twitter.com/3kliksphilip ● PC Specs: Ryzen 1800X, 32 GB RAM, Geforce 1080What people say. Recommended as a clear explanation of how Valve uses machine learning for game anti-cheat and player behavior analysis.
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