Web: http://arxiv.org/abs/2211.10227

Nov. 21, 2022, 2:20 a.m. | T. Windeatt

cs.CR updates on arXiv.org arxiv.org

A spectral approximation of a Boolean function is proposed for approximating
the decision boundary of an ensemble of Deep Neural Networks (DNNs) solving
two-class pattern recognition problems. The Walsh combination of relatively
weak DNN classifiers is shown experimentally to be capable of detecting
adversarial attacks. By observing the difference in Walsh coefficient
approximation between clean and adversarial images, it appears that
transferability of attack may be used for detection. Approximating the decision
boundary may also aid in understanding the learning …

adversarial detection

More from arxiv.org / cs.CR updates on arXiv.org

Senior Cloud Security Engineer

@ HelloFresh | Berlin, Germany

Senior Security Engineer

@ Reverb | Remote, US

Sr. Product Manager - Cloud Security/CNAPP

@ Zscaler | Atlanta, GA, United States

ISSO - Security Delivery

@ Novetta | Columbia, MD

Junior Cyber Security Recruitment Consultant (possibility for work abroad)

@ Gradfuel | London, England, United Kingdom

Internship, Cybersecurity

@ Qontigo | Eschborn, Hessen, Germany

Security Administrator

@ Zero Hash | Melbourne, VIC - Remote

Cybersecurity Project Manager, Reactive Lead - Unit 42 Consulting (Remote)

@ Palo Alto Networks | Santa Clara, CA, United States

Consultant, GRC, Proactive Services (Unit 42) - Remote

@ Palo Alto Networks | New York City, United States

Senior Manager, Security Operations (Secure Access Engineering)

@ GitHub | Remote - United States

Junior Penetration Tester - Amsterdam

@ BreachLock | Amsterdam, North Holland, Netherlands

Senior Product Security Engineer

@ 8x8, Inc. | Remote, Romania