Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract]

Research article (2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS), 2022) · cited 33× · AI/ML
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Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract]

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Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract] is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract]. Retrieved May 24, 2026, from https://4ort.xyz/entity/planting-undetectable-backdoors-in-machine-learning-models-extended-abstract
MLA “Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract].” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/planting-undetectable-backdoors-in-machine-learning-models-extended-abstract.
BibTeX @misc{4ortxyz_planting-undetectable-backdoors-in-machine-learning-models-extended-abstract_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract]}}, year = {2026}, url = {https://4ort.xyz/entity/planting-undetectable-backdoors-in-machine-learning-models-extended-abstract}, note = {Accessed: 2026-05-24}}
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