Explore the fundamental concepts of robustness in machine learning systems in this 43-minute lecture from NPTEL-NOC IITM. Delve into critical topics including adversarial data and distribution shifts that affect model performance in real-world scenarios. Access comprehensive lecture materials through the provided Google Drive link to enhance your understanding of these essential robustness principles.
Robustness Part 1 - Adversarial Data and Distribution Shifts
Overview
Syllabus
Robustness Part 1
Taught by
NPTEL-NOC IITM
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