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AI networks are more vulnerable to malicious attacks than previously thought

AI networks are more vulnerable to malicious attacks than previously thought
sciencedaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencedaily.com Daily Mail and Mail on Sunday newspapers.

Ryan Grainger , Tianfu Wu , Thomas Paniagua , Carolina State University , Us Army Research Office , 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
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

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 ,

New method improves efficiency of 'vision transformer' AI systems

Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT s ability to identify, classify and segment objects in images. ....

British Columbia , Thomas Paniagua , Ryan Grainger , Naresh Cuntoor , Tianfu Wu , Us Army Research Office , National Science Foundation , Carolina State University , National Intelligence , North Carolina State , Learning Patch To Cluster Attention , Vision Transformers , Computer Vision , Pattern Recognition , Mun Wai Lee , Research Office ,