Security and Neural Networks
Nicholas emphasizes the inevitability of security breaches in machine learning applications, stressing the importance of prioritizing benign accuracy. Tim delves into the complexities of neural networks, questioning the impact of pruning on the susceptibility to adversarial examples.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
Related Questions
What are adversarial attacks on machine learning models as discussed in the episode #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)?
What are adversarial attacks on machine learning models?
Can you give examples of adversarial attacks on machine learning models?