A full-field simulation methodology for sonic boom modeling on adaptive Cartesian cut-cell meshes von Yamashita, Rei, Wutschitz, Lukas, Nikiforakis, Nikolaos

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Numerical Composition of Differential Privacy von Gopi, Sivakanth, Lee, Yin Tat, Wutschitz, Lukas

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Differentially Private Fine-tuning of Language Models von Yu, Da, Naik, Saurabh, Backurs, Arturs, Gopi, Sivakanth, Inan, Huseyin A., Kamath, Gautam, Kulkarni, Janardhan, Lee, Yin Tat, Manoel, Andre, Wutschitz, Lukas, Yekhanin, Sergey, Zhang, Huishuai

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Analyzing Leakage of Personally Identifiable Information in Language Models von Lukas, Nils, Salem, Ahmed, Sim, Robert, Tople, Shruti, Wutschitz, Lukas, Zanella-Beguelin, Santiago

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On a Cartesian cut-cell methodology for simulating atmospheric ice accretion on aircraft von Wutschitz, Lukas

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Numerical Composition of Differential Privacy von Gopi, Sivakanth, Lee, Yin Tat, Wutschitz, Lukas

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Closed-Form Bounds for DP-SGD against Record-level Inference von Cherubin, Giovanni, Köpf, Boris, Paverd, Andrew, Tople, Shruti, Wutschitz, Lukas, Zanella-Béguelin, Santiago

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Analyzing Leakage of Personally Identifiable Information in Language Models von Lukas, Nils, Salem, Ahmed, Sim, Robert, Tople, Shruti, Wutschitz, Lukas, Zanella-Béguelin, Santiago

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Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective von Wutschitz, Lukas, Köpf, Boris, Paverd, Andrew, Rajmohan, Saravan, Salem, Ahmed, Tople, Shruti, Zanella-Béguelin, Santiago, Xia, Menglin, Rühle, Victor

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Permissive Information-Flow Analysis for Large Language Models von Siddiqui, Shoaib Ahmed, Gaonkar, Radhika, Köpf, Boris, Krueger, David, Paverd, Andrew, Salem, Ahmed, Tople, Shruti, Wutschitz, Lukas, Xia, Menglin, Zanella-Béguelin, Santiago

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Differentially Private Model Compression von Mireshghallah, Fatemehsadat, Backurs, Arturs, Inan, Huseyin A, Wutschitz, Lukas, Kulkarni, Janardhan

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Bayesian Estimation of Differential Privacy von Zanella-Béguelin, Santiago, Wutschitz, Lukas, Tople, Shruti, Salem, Ahmed, Rühle, Victor, Paverd, Andrew, Naseri, Mohammad, Köpf, Boris, Jones, Daniel

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Numerical Composition of Differential Privacy von Sivakanth Gopi, Lee, Yin Tat, Wutschitz, Lukas

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Training Data Leakage Analysis in Language Models von Inan, Huseyin A, Ramadan, Osman, Wutschitz, Lukas, Jones, Daniel, Rühle, Victor, Withers, James, Sim, Robert

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Analyzing Information Leakage of Updates to Natural Language Models von Zanella-Béguelin, Santiago, Wutschitz, Lukas, Tople, Shruti, Rühle, Victor, Paverd, Andrew, Ohrimenko, Olga, Köpf, Boris, Brockschmidt, Marc

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Closed-Form Bounds for DP-SGD against Record-level Inference von Cherubin, Giovanni, Köpf, Boris, Paverd, Andrew, Tople, Shruti, Wutschitz, Lukas, Zanella-Béguelin, Santiago

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Differentially Private Fine-tuning of Language Models von Yu, Da, Naik, Saurabh, Backurs, Arturs, Gopi, Sivakanth, Inan, Huseyin A, Kamath, Gautam, Kulkarni, Janardhan, Lee, Yin Tat, Manoel, Andre, Wutschitz, Lukas, Yekhanin, Sergey, Zhang, Huishuai

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Analyzing Leakage of Personally Identifiable Information in Language Models von Lukas, Nils, Salem, Ahmed, Sim, Robert, Tople, Shruti, Wutschitz, Lukas, Zanella-Béguelin, Santiago

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Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective von Wutschitz, Lukas, Köpf, Boris, Paverd, Andrew, Rajmohan, Saravan, Salem, Ahmed, Tople, Shruti, Zanella-Béguelin, Santiago, Xia, Menglin, Rühle, Victor

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Permissive Information-Flow Analysis for Large Language Models von Shoaib Ahmed Siddiqui, Gaonkar, Radhika, Köpf, Boris, Krueger, David, Paverd, Andrew, Salem, Ahmed, Tople, Shruti, Wutschitz, Lukas, Xia, Menglin, Zanella-Béguelin, Santiago

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