Open prabhant opened 6 years ago
Abstract (2-3 lines) It's a small talk comprising various security implications of using machine learning applications in various domains.
Brief Description and Contents to be covered Adversarial examples, differential privacy and model stealing
Pre-requisites for the talk Must be aware about the basic concepts of machine learning.
Time required for the talk 20 minutes
Link to slides soon
Will you be doing hands-on demo as well? nope
Link to ipython notebook (if any) nope
About yourself Masters student at UniTartu, currently researching on machine learning security.
Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? yes
Any query ? no
Abstract (2-3 lines) It's a small talk comprising various security implications of using machine learning applications in various domains.
Brief Description and Contents to be covered Adversarial examples, differential privacy and model stealing
Pre-requisites for the talk Must be aware about the basic concepts of machine learning.
Time required for the talk 20 minutes
Link to slides soon
Will you be doing hands-on demo as well? nope
Link to ipython notebook (if any) nope
About yourself Masters student at UniTartu, currently researching on machine learning security.
Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? yes
Any query ? no