David MelamedCloud, Coding / Code-Review, DevOps, Security
No need to reinvent the CI/CD wheel for every service - learn how to build centralized git workflows for all your repos in Python.
Yunus Emrah BulutComputer Vision, Ethics (Privacy, Fairness,… ), Governance, Natural Language Processing, Neural Networks / Deep Learning, Security
Machine learning testing becomes an indispensable part of the MLOps and Python offers great ecosystem for this purpose.
Valerio MaggioNeural Networks / Deep Learning, Security
Have you ever wondered how to train your @PyTorch model on private data you cannot see? If you want to know how, this is the workshop for you! #PPML cc/ @openminedorg
Alejandro SaucedoBest Practice, Data Engineering, Security
As data science capabilities scale, the core concept of security becomes growingly critical - in this talk we provide an overview of challenges, solutions and best practices to introduce security into the ML lifecycle.
Gajendra DeshpandeBest Practice, Django, Security
In this talk, we will focus on two aspects. First, performing penetration testing on Django web applications to identify vulnerabilities and scanning for OWASP Top 10 risks. Second, strategies and configuration settings for making the source code and Django applications secure.
Cheuk Ting HoCommunity, Governance, Python fundamentals, Security, Transparency / Interpretability
Trojan Source Malware has been tested on Python and it works. Shall the Python and open-source communities be concerned?