Adversarial Policies in Go
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About
Adversarial Policies in Go is a tool focused on the discovery and analysis of adversarial strategies that challenge Go AI systems, like KataGo. The tool investigates simple adversarial tactics, showing their effectiveness in bypassing traditional defenses of AI. It provides resources like attack papers, blogs, videos, and training methodologies, exploring techniques such as positional and iterated adversarial training, including their strengths and vulnerabilities. The findings suggest that while some basic defenses can be implemented, achieving total robustness in Go AI remains a complex challenge. The tool also highlights newer adversarial strategies, indicating the ongoing evolution of threats to AI in competitive environments like Go.
Platform
Features
• resources on go ai defenses
• exploration of ai vulnerabilities
• training methodologies
• game analysis tools
• adversarial strategy analysis
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