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News/Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training
arxiv
PublishedJune 25, 2026 at 4:00 AM
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Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training

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arXiv:2507.01752v4 Announce Type: replace-cross Abstract: Gradient-based optimization is the workhorse of deep learning, offering efficient and scalable training via backpropagation. However, exposing gradients during training can leak sensitive information about the underlying data, raising privacy

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