Скачать
12. Machine Learning Security and Governance
Автор: SprintML-Lab
Загружено: 2024-07-10
Просмотров: 266
Описание:
In this lecture, we consider ML security in the broader scope. Starting from security risks of the model, we move on to consider the system that the ML model is deployed in and risks that can occur if some system components are manipulated, or through side-channels.
Finally, we talk about ML governance, i.e., integrating ML models into society as a whole with the multiple stakeholders and their various requirements.
We end on providing promising future research directions in the area of trustworthy ML.
Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
