Adversarial attacks reveal important vulnerabilities and flaws of trained models. One potent
type of attack are universal adversarial triggers, which are individual n-grams that, when …

The past decade has seen a substantial rise in the amount of mis-and disinformation online,
from targeted disinformation campaigns to influence politics, to the unintentional spreading …

A major concern with machine learning (ML) models is their opacity. They are deployed in
an increasing number of applications where they often operate as black boxes that do not …

Methods and systems for generating adversarial examples are disclosed. The method
comprises accessing a set of inputs and generating an instance of a variable auto-encoder …