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Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy.

, , , , , , , and . INLG, page 28-53. Association for Computational Linguistics, (2023)

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Image Compression by Learning to Minimize the Total Error., and . IEEE Trans. Circuits Syst. Video Techn., 23 (4): 565-576 (2013)Transfusion: Understanding Transfer Learning with Applications to Medical Imaging., , , and . CoRR, (2019)Deduplicating Training Data Makes Language Models Better., , , , , , and . CoRR, (2021)Unrestricted Adversarial Examples., , , , , and . CoRR, (2018)A-Optimal Projection for Image Representation., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 38 (5): 1009-1015 (2016)Word-level invariant representations from acoustic waveforms., , , , and . INTERSPEECH, page 2385-2389. ISCA, (2014)Discriminative template learning in group-convolutional networks for invariant speech representations., , , , and . INTERSPEECH, page 3229-3233. ISCA, (2015)Transfusion: Understanding Transfer Learning for Medical Imaging., , , and . NeurIPS, page 3342-3352. (2019)Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures., , , , , , and . NeurIPS, (2022)A deep representation for invariance and music classification., , , , and . ICASSP, page 6984-6988. IEEE, (2014)