2020
Detecting Adversarial Attacks In Time-Series Data
ICASSP 2020accepted
In recent times, deep neural networks have seen increased adoption in highly critical tasks. They are also susceptible to adversarial attacks, which are specifically crafted changes made to input samples which lead to erroneous output from such models. Such attacks have been shown to affect differen…