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WebOct 25, 2024 · Federated learning has quickly gained popularity with its promises of increased user privacy and efficiency. Previous works have shown that federated gradient updates contain information that can be used to approximately recover user data in some situations. These previous attacks on user privacy have been limited in scope and do not … WebSchulze Geiping, Heinrich is a recipient of farm subsidies from Germany. Schulze Geiping, Heinrich has received ... Schulze Althoff-Geiping GbR, Coesfeld, Münster, Nordrhein-Westfalen, DE-59399, DE Schulze, Heinrich, Lüneburg, Lüneburg, Niedersachsen, DE …
WebJonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller. Abstract. The idea of federated learning is to collaboratively train a neural network on a server. Each user receives the current weights of the network and in turns sends parameter updates (gradients) based on local data. This protocol has been designed not only to train ... WebJun 21, 2024 · Adversarial Examples Make Strong Poisons. Liam Fowl, Micah Goldblum, Ping-yeh Chiang, Jonas Geiping, Wojtek Czaja, Tom Goldstein. The adversarial machine learning literature is largely partitioned into evasion attacks on testing data and poisoning attacks on training data. In this work, we show that adversarial examples, originally …
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