Subpopulation Data Poisoning Attacks

Giorgio Severi
Giorgio Severi
Niklas Pousette Harger
Niklas Pousette Harger
Cited by: 0|Bibtex|Views28
Other Links: arxiv.org

Abstract:

Machine learning (ML) systems are deployed in critical settings, but they might fail in unexpected ways, impacting the accuracy of their predictions. Poisoning attacks against ML induce adversarial modification of data used by an ML algorithm to selectively change the output of the ML algorithm when it is deployed. In this work, we intr...More

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