Fooling Neural Networks in the Physical World with 3D Adversarial Objects
Published:Nov 1, 2017 14:36
•1 min read
•Hacker News
Analysis
This article likely discusses research on adversarial attacks against neural networks, specifically focusing on how 3D-printed objects can be designed to mislead these networks in real-world scenarios. The source, Hacker News, suggests a technical audience and a focus on the practical implications of AI security.
Key Takeaways
- •Focus on adversarial attacks in the physical world.
- •Use of 3D objects to fool neural networks.
- •Implications for AI security and robustness.
Reference
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