Certified Robustness to Adversarial Examples with Differential Privacy von Lecuyer, Mathias, Atlidakis, Vaggelis, Geambasu, Roxana, Hsu, Daniel, Jana, Suman

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Practical Privacy Filters and Odometers with R\'enyi Differential Privacy and Applications to Differentially Private Deep Learning von Lécuyer, Mathias

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DP-Adam: Correcting DP Bias in Adam's Second Moment Estimation von Tang, Qiaoyue, Lécuyer, Mathias

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Training and Evaluating Causal Forecasting Models for Time-Series von Crasson, Thomas, Nabet, Yacine, Lécuyer, Mathias

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DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) von Tang, Qiaoyue, Shpilevskiy, Frederick, Lécuyer, Mathias

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PRIVACY FILTERS AND ODOMETERS FOR DEEP LEARNING von Lécuyer, Mathias François Roger

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Privacy filters and odometers for deep learning von Lécuyer, Mathias François Roger

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Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform von Lècuyer, Mathias, Spahn, Riley, Vodrahalli, Kiran, Geambasu, Roxana, Hsu, Daniel

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Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep Learning von Lécuyer, Mathias

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Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences von Lyu, Saiyue, Shaikh, Shadab, Shpilevskiy, Frederick, Shelhamer, Evan, Lécuyer, Mathias

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DP-Adam: Correcting DP Bias in Adam's Second Moment Estimation von Tang, Qiaoyue, Lécuyer, Mathias

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Turbo: Effective Caching in Differentially-Private Databases von Kostopoulou, Kelly, Tholoniat, Pierre, Cidon, Asaf, Geambasu, Roxana, Lécuyer, Mathias

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PRIVACY FILTERS AND ODOMETERS FOR DEEP LEARNING von Lécuyer, Mathias François Roger

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DPack: Efficiency-Oriented Privacy Budget Scheduling von Tholoniat, Pierre, Kostopoulou, Kelly, Chowdhury, Mosharaf, Cidon, Asaf, Geambasu, Roxana, Lécuyer, Mathias, Yang, Junfeng

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Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design von Behrouz, Ali, Lécuyer, Mathias, Rudin, Cynthia, Seltzer, Margo

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Dispatch: Secure, Resilient Mobile Reporting von BISCUITWALA, Kanak, BULT, Willem, LECUYER, Mathias, PURTELL, T. J, ROSS, Madeline K. B, CHAINTREAU, Augustin, HASEMAN, Chris, LAM, Monica S, MCGREGOR, Susan E

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Efficient and Adaptive Posterior Sampling Algorithms for Bandits von Hu, Bingshan, Huang, Zhiming, Zhang, Tianyue H, Lécuyer, Mathias, Hegde, Nidhi

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Training and Evaluating Causal Forecasting Models for Time-Series von Crasson, Thomas, Nabet, Yacine, Lécuyer, Mathias

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PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining von Kazmi, Mishaal, Lautraite, Hadrien, Akbari, Alireza, Tang, Qiaoyue, Soroco, Mauricio, Wang, Tao, Gambs, Sébastien, Lécuyer, Mathias

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NetShaper: A Differentially Private Network Side-Channel Mitigation System von Sabzi, Amir, Vora, Rut, Goswami, Swati, Seltzer, Margo, Lécuyer, Mathias, Mehta, Aastha

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