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Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
[article]
2017
arXiv
pre-print
Deep learning models have achieved high performance on many tasks, and thus have been applied to many security-critical scenarios. For example, deep learning-based face recognition systems have been used to authenticate users to access many security-sensitive applications like payment apps. Such usages of deep learning systems provide the adversaries with sufficient incentives to perform attacks against these systems for their adversarial purposes. In this work, we consider a new type of
arXiv:1712.05526v1
fatcat:ebavdwn4evbvvmrudknv7sljeq