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GDC + VRDC 2019 Session Scheduler

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ML Tutorial Day: Beating Wallhacks using Deep Learning with Limited Resources

Junsik Hwang (Machine Learning Engineer, Nexon Korea)

Location: Room 303, South Hall

Date: Tuesday, March 19

Time: 10:00am - 11:00am

Pass Type: All Access, GDC Conference + Summits, GDC Summits - Get your pass now!

Topic: Programming

Format: Tutorial

Tutorials: ML Tutorial Day

Vault Recording: Video

Audience Level: All

Albeit having compelling performance, deep learning requires an extensive database and massive computing power, and therefore considerable investment. In this session, Junsik will present how Nexon Korea has developed a real-time automated wallhack detection system using Convolutional Neural Networks with a small dataset and a single GPU. By using Class Activation Maps, the network finds suspicious areas within a screenshot that improves the credibility of the model's performance and makes debugging datasets much more efficient. Model Interpretability plays a crucial role in incorporating deep learning with the existing abuser control policies. As a result, the system now detects abusers in real-time and reduces manual inspection labor significantly.

Takeaway

Attendees will walk away from this session with practical tips on how to build a wallhack detection system using deep learning for their services even with a limited dataset and trust.

Intended Audience

This session is intended for anyone who is interested in deep learning and its practical usage.