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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
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Ryan graingerTianfu wuThomas paniaguaCarolina state universityUs army research officeNational science foundationNorth carolina stateQuadratic programming approachLearning ordered topk adversarial attacksThirty seventh conferenceNeural information processing systemsNew orleansResearch office

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 statesNew orleansThomas paniaguaTianfu wuRyan graingerCarolina state universityNorth carolina stateQuadratic programming approachLearning ordered topk adversarial attacksThirty seventh conferenceNeural information processing systems

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 wuThomas paniaguaRyan graingerUs army research officeCarolina state universityNational science foundationNorth carolina stateQuadratic programming approachLearning ordered topk adversarial attacksThirty seventh conferenceNeural information processing systemsNew orleansResearch 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 graingerTianfu wuThomas paniaguaCarolina state universityQuadratic programming approachLearning ordered topk adversarialNorth carolina stateLearning ordered topk adversarial attacksThirty seventh conferenceNeural information processing systemsNew orleans