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AutoAttacker: A reinforcement learning approach for black-box adversarial attacks

dc.contributor.authorTsingenopoulos, Illias
dc.contributor.authorPreuveneers, Davy
dc.contributor.authorJoosen, Wouter
dc.date.accessioned2021-10-27T20:02:10Z
dc.date.available2021-10-27T20:02:10Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34156
dc.sourceIIOimport
dc.titleAutoAttacker: A reinforcement learning approach for black-box adversarial attacks
dc.typeProceedings paper
dc.contributor.imecauthorJoosen, Wouter
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage9
dc.source.conference4th IEEE European Symposium on Security and Privacy (EUROS&P)
dc.source.conferencedate17/06/2019
dc.source.conferencelocationStockholm Sweden
dc.identifier.urlhttps://doi.org/10.1109/EuroSPW.2019.00032
imec.availabilityPublished - imec


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