Yunjie Ge

Hijacking Attacks against Neural Networks by Analyzing Training Data

2024 · arXiv (Cornell University)

Backdoors and adversarial examples are the two primary threats currently faced by deep neural networks (DNNs). Both attacks attempt to hijack the model behaviors with unintended outputs by introducing (small) perturbations to the inputs. Backdoor …