Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines

Machine learning (ML) models trained on data from potentially untrusted sources are vulnerable to poisoning. A small, maliciously crafted subset of the training inputs can cause the model to learn a "backdoor" task (e.g., misclassify inputs with a certain feature) in addition to its main t...

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Hauptverfasser:	Bagdasaryan, Eugene, Shmatikov, Vitaly
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Cryptography and Security Computer Science - Learning
Online-Zugang:	Volltext bestellen
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