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AI, cybersecurity | Homeland Security Newswire

AI, cybersecurity | Homeland Security Newswire
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Tianfu wuCarolina state universityAre more vulnerableMalicious attacks than previouslyNorth carolina state

AI networks more vulnerable to attacks

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

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AI tools are surprisingly vulnerable to targeted attacks

AI tools, such as those that diagnose medical conditions or drive autonomous vehicles, are vulnerable to targeted attacks, say researchers.

United statesNew orleansTianfu wuCarolina state universityNational science foundationUs army research officeNorth carolina stateAnnual conferenceNeural information processing systemsResearch officeNational science

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

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