data reconstruction attack

InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference AAAI 2026 CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025 Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning UAI 2025 Data Reconstruction Attacks and Defenses: A Systematic Evaluation AISTATS 2025 DRAG: Data Reconstruction Attack using Guided Diffusion ICML 2025 DualGuard: A Parameter Space Transformation Approach for Bidirectional Defense in Split-Based LLM Fine-Tuning ACL 2025 A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024 Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models ACL 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano ICML 2023 GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference NeurIPS 2023 TabLeak: Tabular Data Leakage in Federated Learning ICML 2023 The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning CVPR 2023