Connections Between Cryptographic Coin Flipping and Adversarially Robust Learning

Explore the intriguing connections between cryptographic coin flipping and adversarially robust learning in this invited talk by Mohammad Mahmoody from the University of Virginia. Delve into the fascinating intersection of cryptography and machine learning as presented at Privacy Preserving Machine Learning 2020, Session IV. Gain valuable insights into how concepts from cryptographic protocols can be applied to enhance the robustness of machine learning models against adversarial attacks.

Connections between cryptographic coin flipping and adversarially robust learning