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

, , , , , , , и . CoRR, (2022)

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Christopher A Richardson

Christopher A Becker

Prem Choontanom

Suma Choorapoikayil

Noppon Choosri

 

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Entangled Watermarks as a Defense against Model Extraction., , и . CoRR, (2020)Private Federated Learning with Autotuned Compression., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 34668-34708. PMLR, (2023)The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 3056-3089. PMLR, (2022)Label-Only Membership Inference Attacks., , , и . CoRR, (2020)Private Multi-Winner Voting for Machine Learning., , , , , , , , и . CoRR, (2022)Privacy Side Channels in Machine Learning Systems., , , , , , , и . CoRR, (2023)PaLM 2 Technical Report., , , , , , , , , и 43 other автор(ы). CoRR, (2023)Privacy Amplification for Matrix Mechanisms., , , и . CoRR, (2023)Teach LLMs to Phish: Stealing Private Information from Language Models., , , , и . CoRR, (2024)Scalable Extraction of Training Data from (Production) Language Models., , , , , , , , , и . CoRR, (2023)