ML Conference is the go-to event for Machine Learning enthusiasts, the world’s leading machine learning experts and innovators as they share their ideas and experience.
The founder of Adversa Alex Polyakov was invited to participate as a speaker in the ML Conference Munich 2021, which was held on December 7, 2021. The topic of his presentation was AI red teaming.
What is AI Red Teaming? Why is it important? How to apply penetration testing and SDLC methodologies for Machine Learning? In his presentation, Alex answered those questions. In addition, he demonstrated the ways it could be applied in practice for testing AI-driven facial recognition systems, as AI algorithms were prone to adversarial attacks. Alex presented research conducted in the real environment in order to see AI Red Teaming processes.
Adversarial attacks are posing a real threat to the current AI state What Every Machine Learning Company Can Learn from the Zillow-pocalypse Medium, November 26, 2021 Zillow lost $ 381 million after data science model failed. The company said last [...]
