gradient inversion

Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models AAAI 2026 Gradient Inversion of Multimodal Models ICML 2025 Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 Deep Equilibrium Diffusion Restoration with Parallel Sampling CVPR 2024 FedInverse: Evaluating Privacy Leakage in Federated Learning ICLR 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning WACV 2024 Recovering Labels from Local Updates in Federated Learning ICML 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 SPEAR: Exact Gradient Inversion of Batches in Federated Learning NeurIPS 2024 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023 Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning ICCV 2023 GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023 A Survey on Gradient Inversion: Attacks, Defenses and Future Directions IJCAI 2022 Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification ICML 2022 GradViT: Gradient Inversion of Vision Transformers CVPR 2022 Recovering Private Text in Federated Learning of Language Models NeurIPS 2022 Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models ICLR 2022 Gradient Inversion with Generative Image Prior NeurIPS 2021 See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021 Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS 2020