Feature vulnerability and robustness assessment against adversarial machine learning attacks
(2021)
Presentation / Conference Contribution
Whilst machine learning has been widely adopted for various domains, it is important to consider how such techniques may be susceptible to malicious users through adversarial attacks. Given a trained classifier, a malicious attack may attempt to craf... Read More about Feature vulnerability and robustness assessment against adversarial machine learning attacks.