Machine Learning Security Insights
Tim delves into the debate on machine learning security, exploring the trade-offs between robustness and accuracy in the face of adversarial attacks. He highlights the fatalistic view that some hold regarding the challenges of securing machine learning systems.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
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