{"slug": "do-gradient-inversion-attacks-make-federated-learning-unsafe", "title": "Do Gradient Inversion Attacks Make Federated Learning Unsafe?", "summary": "NVIDIA researchers published a study in IEEE Transactions of Medical Imaging investigating whether gradient inversion attacks compromise federated learning safety, finding that such attacks can reconstruct training data from shared gradients, posing privacy risks in medical imaging applications.", "body_md": "Research Labs\nAll Research Labs\nSpatial Intelligence\nApplied Research\nAutonomous Vehicles\nDeep Imagination\nPublications\nAI Playground\nNew and Featured\nAI Art Gallery\nNGC Demos\nResearch Areas\nAI & Machine Learning\n3D Deep Learning\nComputer Vision\nRobotics\nAll Areas\nCareers\nAcademic Collaborations\nGovernment Collaborations\nGraduate Fellowship\nInternships\nResearch Openings\nResearch Scientists\nMeet the Team\nLicensing\nSkip to main content\nArtificial Intelligence Computing Leadership from NVIDIA\nLogin\nResearch Labs\nAll Research Labs\nSpatial Intelligence\nApplied Research\nAutonomous Vehicles\nDeep Imagination\nPublications\nAI Playground\nNew and Featured\nAI Art Gallery\nNGC Demos\nResearch Areas\nAI & Machine Learning\n3D Deep Learning\nComputer Vision\nRobotics\nAll Areas\nCareers\nAcademic Collaborations\nGovernment Collaborations\nGraduate Fellowship\nInternships\nResearch Openings\nResearch Scientists\nMeet the Team\nLicensing\nSearch\nSearch\nEnter the terms you wish to search for.\nPublications\nDo Gradient Inversion Attacks Make Federated Learning Unsafe?\nDo Gradient Inversion Attacks Make Federated Learning Unsafe?\nAuthors\nAli Hatamizadeh\nHongxu Danny Yin\nPavlo Molchanov\nAndriy Myronenko\nWenqi Li\nPrerna Dogra (NVIDIA)\nAndrew Feng (NVIDIA)\nMona G Flores (NVIDIA)\nJan Kautz\nDaguang Xu\nHolger Roth\nPublication Date\nTuesday, January 24, 2023\nPublished in\nIEEE Transactions of Medical Imaging\nResearch Area\nMedical", "url": "https://wpnews.pro/news/do-gradient-inversion-attacks-make-federated-learning-unsafe", "canonical_source": "https://research.nvidia.com/publication/2023-01_do-gradient-inversion-attacks-make-federated-learning-unsafe", "published_at": "2026-06-15 23:15:08+00:00", "updated_at": "2026-06-15 23:18:53.349152+00:00", "lang": "en", "topics": ["ai-safety", "machine-learning", "computer-vision"], "entities": ["NVIDIA", "Ali Hatamizadeh", "Hongxu Danny Yin", "Pavlo Molchanov", "Andriy Myronenko", "Wenqi Li", "Jan Kautz", "Holger Roth"], "alternates": {"html": "https://wpnews.pro/news/do-gradient-inversion-attacks-make-federated-learning-unsafe", "markdown": "https://wpnews.pro/news/do-gradient-inversion-attacks-make-federated-learning-unsafe.md", "text": "https://wpnews.pro/news/do-gradient-inversion-attacks-make-federated-learning-unsafe.txt", "jsonld": "https://wpnews.pro/news/do-gradient-inversion-attacks-make-federated-learning-unsafe.jsonld"}}