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Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks. (arXiv:2204.08726v1 [cs.LG])
April 20, 2022, 1:20 a.m. | Kenneth T. Co, David Martinez-Rego, Zhongyuan Hau, Emil C. Lupu
cs.CR updates on arXiv.org arxiv.org
Deep neural networks have become an integral part of our software
infrastructure and are being deployed in many widely-used and safety-critical
applications. However, their integration into many systems also brings with it
the vulnerability to test time attacks in the form of Universal Adversarial
Perturbations (UAPs). UAPs are a class of perturbations that when applied to
any input causes model misclassification. Although there is an ongoing effort
to defend models against these adversarial attacks, it is often difficult to
reconcile …
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