Attack and defence in cellular decision-making: lessons from machine learning

Thomas J. Rademaker, Emmanuel Bengio, Paul François

Machine learning algorithms can be fooled by small well-designed adversarial perturbations. This is reminiscent of cellular decision-making where ligands (called antagonists) preve…