gradient inversion attack

Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning AAAI 2026 A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025 Data Reconstruction Attacks and Defenses: A Systematic Evaluation AISTATS 2025 EmByte: Decomposition and Compression Learning for Small yet Private NLP EMNLP 2025 Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025 Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization COLING 2025 Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025 GRAIN: Exact Graph Reconstruction from Gradients ICLR 2025 How to Recover Long Audio Sequences Through Gradient Inversion Attack With Dynamic Segment-based Reconstruction Interspeech 2025 MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation IJCAI 2025 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective AAAI 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning CVPR 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024 Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning WACV 2024 Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks AAAI 2024 Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024 Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks ICLR 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 Dropout Is NOT All You Need to Prevent Gradient Leakage AAAI 2023 Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023 Instance-wise Batch Label Restoration via Gradients in Federated Learning ICLR 2023