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Benchmarking Differential Privacy and Federated Learning for BERT Models., , , , , и . CoRR, (2021)Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks., , , , и . EMNLP, стр. 8332-8347. Association for Computational Linguistics, (2022)An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models., , , , и . EMNLP, стр. 1816-1826. Association for Computational Linguistics, (2022)Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization., , , , , и . CoRR, (2020)Non-Parametric Temporal Adaptation for Social Media Topic Classification., , , , , и . CoRR, (2022)Privacy-Preserving Domain Adaptation of Semantic Parsers., , , , и . ACL (1), стр. 4950-4970. Association for Computational Linguistics, (2023)Shredder: Learning Noise Distributions to Protect Inference Privacy., , , , , и . ASPLOS, стр. 3-18. ACM, (2020)ASPLOS 2020 was canceled because of COVID-19..Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness., и . EMNLP (1), стр. 2009-2022. Association for Computational Linguistics, (2021)Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation., , , , , , , , и . ICLR, OpenReview.net, (2024)Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization., , , , и . CoRR, (2023)