Learning Under Data Poisoning

Explore the critical topic of learning under data poisoning in this 44-minute lecture by Amin Karbasi from Yale University. Delve into information-theoretic methods for trustworthy machine learning as part of the Simons Institute series. Gain insights into the challenges and strategies for maintaining the integrity of machine learning systems in the face of malicious data manipulation.