conformal inference 1extractable memorization 1large language models 1privacy evaluation 1statistical testing 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Extractable Memorization From First Principles
A. Feder Cooper, Marika Swanberg, Jamie Hayes +5
The paper introduces formal matched‑comparison methods—using conformal testing and document‑level censuses—to reliably determine when a language model has memorized training data,…
cs.CL2026
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search
A. Feder Cooper, Mark A. Lemley, Christopher De Sa +6
Recent work shows that standard greedy-decoding extraction methods for quantifying memorization in LLMs miss how extraction risk varies across sequences. Probabilistic extraction -…