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cs.LG2026
Alignment Defends LLMs from Property Inference Attacks
Pengrun Huang, Chhavi Yadav, Ruihan Wu +1
Large language models (LLMs) are increasingly fine-tuned on domain-specific datasets that may contain sensitive, dataset-level properties. Recent work has shown that such dataset-l…
cs.LG2026
Dataset Watermarking with Provable Black-Box Detection
Pengrun Huang, Kamalika Chaudhuri, Yu-Xiang Wang
Large Language Models (LLMs) are often pre-trained and post-trained on vast amounts of loosely curated data, and potentially have been trained on proprietary datasets or the benchm…