conftrace_

gradient inversion

21 papers

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Also known as

GRADINV

Co-occurring keywords

federated learning (1333) privacy attack (119) gradient inversion attack (29) image reconstruction (671) model inversion (31) privacy leakage (105) diffusion model (3751) exact reconstruction (2) privacy breach (8) gradient attack (16)

Papers

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