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arXiv · 2111.07138

Towards One Shot Search Space Poisoning in Neural Architecture Search

Nayan Saxena·Robert Wu·Rohan Jain
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Abstract

We evaluate the robustness of a Neural Architecture Search (NAS) algorithm known as Efficient NAS (ENAS) against data agnostic poisoning attacks on the original search space with carefully designed ineffective operations. We empirically demonstrate how our one shot search space poisoning approach exploits design flaws in the ENAS controller to degrade predictive performance on classification tasks. With just two poisoning operations injected into the search space, we inflate prediction error rates for child networks upto 90% on the CIFAR-10 dataset.

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Nayan Saxena, Robert Wu, Rohan Jain. 2021-11-13. Towards One Shot Search Space Poisoning in Neural Architecture Search. https://arxiv.org/abs/2111.07138

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