“Adversarial Examples” for Proof-of-Learning. (arXiv:2108.09454v3 [cs.CR] UPDATED)
In S&P ’21, Jia et al. proposed a new concept/mechanism named proof-of-learning (PoL), which allows a prover to demonstrate ownership of a machine learning model by proving integrity of the…