gradient leakage

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Dropout Is NOT All You Need to Prevent Gradient Leakage AAAI 2023 Reconstructing Training Data from Model Gradient, Provably AISTATS 2023 Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions NeurIPS 2023 Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage CVPR 2022 Bayesian Framework for Gradient Leakage ICLR 2022 LAMP: Extracting Text from Gradients with Language Model Priors NeurIPS 2022 PRECODE - A Generic Model Extension To Prevent Deep Gradient Leakage WACV 2022 CAFE: Catastrophic Data Leakage in Vertical Federated Learning NeurIPS 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021 TAG: Gradient Attack on Transformer-based Language Models EMNLP 2021 Deep Leakage from Gradients NeurIPS 2019