Contexte et atouts du poste

AI-based models are now core to a wide range of applications,
including highly critical ones. The stakes are considerable for
companies or institutions deploying them, as their training amounts to
up to a billion dollars (e.g. for the training of ChatGPT). This
clearly calls for defending them against attacks, like
copy/extraction. In parallel, institutions such as state regulators
have to ensure that these models operate according to law, in
particular with regards to possible discrimination [1]. Researchers
are then tasked to provide algorithms to auditors for assessing
important metrics regarding deployed AI-based models. In such
black-box audits, where an auditor has no access to the remotely
operated model's internals, the goal is to stealthily (i.e. with a few
queries only) estimate some metrics, such as fairness [6].
Interestingly, and this has not yet been mentioned in the li...