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AI Networks Are More Vulnerable To Malicious Attacks Than Previously Thought » WhatsNew2Day

Illustration of the proposed QuadAttackK method compared with the previous technique (e.g., adversarial distillation (AD) method (Zhang and Wu, 2020)). ....

United States , New Orleans , Thomas Paniagua , Tianfu Wu , Ryan Grainger , Carolina State University , North Carolina State , Quadratic Programming Approach , Learning Ordered Topk Adversarial Attacks , Thirty Seventh Conference , Neural Information Processing Systems ,

Aye Aye, Cap'n! Investing in AI is like buying shares in a whaling voyage captained by a man who knows all about ships and little about whales

Aye Aye, Cap'n! Investing in AI is like buying shares in a whaling voyage captained by a man who knows all about ships and little about whales
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Reality check: AI tools more vulnerable than previously thought, NC State researchers say

A new study finds AI tools are more vulnerable than previously thought to targeted attacks that effectively force AI systems to make bad decisions. ....

Tianfu Wu , Thomas Paniagua , Ryan Grainger , Us Army Research Office , Carolina State University , National Science Foundation , North Carolina State , Quadratic Programming Approach , Learning Ordered Topk Adversarial Attacks , Thirty Seventh Conference , Neural Information Processing Systems , New Orleans , Research Office ,

AI networks are more vulnerable to malicious attacks than previously thought

AI networks are more vulnerable to malicious attacks than previously thought
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Ryan Grainger , Tianfu Wu , Thomas Paniagua , Carolina State University , Quadratic Programming Approach , Learning Ordered Topk Adversarial , North Carolina State , Learning Ordered Topk Adversarial Attacks , Thirty Seventh Conference , Neural Information Processing Systems , New Orleans ,

Using a new method of crowdsourced feedback to help train robots could also lead to autonomous learning

Using a new method of crowdsourced feedback to help train robots could also lead to autonomous learning
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Pulkit Agrawal , Marcel Torne , Abhishek Gupta , Department Of Electrical Engineering , Harvard University , Improbable Ai Lab , University Of Washington , Artificial Intelligence Laboratory , Human Guided Exploration , Electrical Engineering , Computer Science , Neural Information Processing Systems , Robot Learning ,