No More Guessing: a Verifiable Gradient Inversion Attack in Federated Learning
arXiv:2604.15063v1 Announce Type: new
Abstract: Gradient inversion attacks threaten client privacy in federated learning by reconstructing training samples from clients’ shared gradients. Gradients aggregate contributions from multiple records and exi…