Researcher profile
Mikel Bober-Irizar
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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Architectural Backdoors in Neural Networks
2022 · arXiv (Cornell University)
Machine learning is vulnerable to adversarial manipulation. Previous literature has demonstrated that at the training stage attackers can manipulate data and data sampling procedures to control model behaviour. A common attack goal is to plant …
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Deep Learning for Classical Japanese Literature
2018 · arXiv (Cornell University)
Much of machine learning research focuses on producing models which perform well on benchmark tasks, in turn improving our understanding of the challenges associated with those tasks. From the perspective of ML researchers, the content …