Florian Tramèr

Join Dr. Nicholas Carlini, a Google Brain research scientist specializing in machine learning security, Dr. Wieland Brendel from the University of Tübingen, and PhD student Florian Tramèr from Stanford as they dive into the world of adversarial examples. They explore how tiny data changes can drastically impact model predictions and discuss the inherent challenges of ensuring robust defenses in neural networks. Insights on the balance between model accuracy and security, alongside the biases present in CNNs, offer a captivating look into this crucial field of AI research.