Robert F. Mullins

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 …