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Adversarial Examples as an Input-Fault Tolerance Problem

Machine Learning 2018-12-03 v1 Cryptography and Security Machine Learning

Abstract

We analyze the adversarial examples problem in terms of a model's fault tolerance with respect to its input. Whereas previous work focuses on arbitrarily strict threat models, i.e., ϵ\epsilon-perturbations, we consider arbitrary valid inputs and propose an information-based characteristic for evaluating tolerance to diverse input faults.

Keywords

Cite

@article{arxiv.1811.12601,
  title  = {Adversarial Examples as an Input-Fault Tolerance Problem},
  author = {Angus Galloway and Anna Golubeva and Graham W. Taylor},
  journal= {arXiv preprint arXiv:1811.12601},
  year   = {2018}
}

Comments

NIPS 2018 Workshop on Security and Machine Learning. Source available at https://github.com/uoguelph-mlrg/nips18-secml-advex-input-fault

R2 v1 2026-06-23T06:26:29.471Z