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Pre-trained Language Models Can be Fully Zero-Shot Learners., , , , and . ACL (1), page 15590-15606. Association for Computational Linguistics, (2023)Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs., , and . CoRR, (2024)GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick., , , , , and . ACL (1), page 5791-5808. Association for Computational Linguistics, (2024)Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks., , , , , and . ISBI, page 837-840. IEEE, (2019)Evaluating Durability: Benchmark Insights into Multimodal Watermarking., , , , , and . CoRR, (2024)"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter., , , and . CoRR, (2023)DE-COP: Detecting Copyrighted Content in Language Models Training Data., , , and . ICML, OpenReview.net, (2024)Provably Confidential Language Modelling., , and . NAACL-HLT, page 943-955. Association for Computational Linguistics, (2022)Distillation-Resistant Watermarking for Model Protection in NLP., , and . EMNLP (Findings), page 5044-5055. Association for Computational Linguistics, (2022)Protecting Language Generation Models via Invisible Watermarking., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 42187-42199. PMLR, (2023)