Feiyi Wang
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126
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Crypto×1ML×1
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2026
FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs
FedSpy-LLM introduces a scalable and generalizable data reconstruction attack that can extract private training data from shared gradients of large language models, even when using Parameter-Efficient Fine-Tuning (PEFT) methods.
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