Gradient Leakage Attacks in Federated Learning: Research Frontiers, Taxonomy, and Future Directions
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DOI: 10.1109/mnet.001.2300140
Abstract: Federated learning (FL) is a distributed deep learning framework that has become increasingly popular in recent years. Essentially, FL supports numerous participants and the parameter server to co-train a deep learning model through shared gradients… read more here.
Keywords: analytics based; leakage attacks; future directions; gradient leakage ... See more keywords
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks Through Model Poisoning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3607271
Abstract: In Federated Learning (FL), clients share gradients with a central server while keeping their data local. However, malicious servers could deliberately manipulate the models to reconstruct clients’ data from shared gradients, posing significant privacy risks.… read more here.
Keywords: gradient puppeteer; leakage; existing aglas; leakage attacks ... See more keywords