BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Fields with differences: year, venue. Compare local vs external BibTeX below.
Authors
Venue
IEEE Access
Abstract
First demonstration of backdoor attacks on deep neural networks. Shows that small trigger patterns in training data cause models to misclassify any input containing the trigger (e.g., stop signs with stickers classified as speed limits).
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Local Entry
@article{gu2017badnets,
title = {BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain},
author = {Tianyu Gu and Brendan Dolan-Gavitt and Siddharth Garg},
year = {2019},
journal = {IEEE Access},
url = {https://arxiv.org/abs/1708.06733},
abstract = {First demonstration of backdoor attacks on deep neural networks. Shows that small trigger patterns in training data cause models to misclassify any input containing the trigger (e.g., stop signs with stickers classified as speed limits).}
} From AUTO:S2
@article{gu2017badnets,
title = {BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain},
author = {Tianyu Gu and Brendan Dolan-Gavitt and S. Garg},
year = {2017},
journal = {arXiv.org}
}