CoVnita, an end-to-end privacy-preserving framework for SARS-CoV-2 classification von Sim, Jun Jie, Zhou, Weizhuang, Chan, Fook Mun, Annamalai, Meenatchi Sundaram Muthu Selva, Deng, Xiaoxia, Tan, Benjamin Hong Meng, Aung, Khin Mi Mi

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Communication-Efficient Secure Federated Statistical Tests from Multiparty Homomorphic Encryption von Annamalai, Meenatchi Sundaram Muthu Selva, Jin, Chao, Aung, Khin Mi Mi

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Privacy-Preserving Collective Learning With Homomorphic Encryption von Paul, Jestine, Annamalai, Meenatchi Sundaram Muthu Selva, Ming, William, Badawi, Ahmad Al, Veeravalli, Bharadwaj, Aung, Khin Mi Mi

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It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss von Annamalai, Meenatchi Sundaram Muthu Selva

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The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing, Debugging von Ganev, Georgi, Annamalai, Meenatchi Sundaram Muthu Selva, De Cristofaro, Emiliano

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Nearly Tight Black-Box Auditing of Differentially Private Machine Learning von Annamalai, Meenatchi Sundaram Muthu Selva, De Cristofaro, Emiliano

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"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation von Annamalai, Meenatchi Sundaram Muthu Selva, Ganev, Georgi, De Cristofaro, Emiliano

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It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss von Meenatchi Sundaram Muthu Selva Annamalai

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FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting von Annamalai, Meenatchi Sundaram Muthu Selva, Bilogrevic, Igor, De Cristofaro, Emiliano

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To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling von Annamalai, Meenatchi Sundaram Muthu Selva, Balle, Borja, De Cristofaro, Emiliano, Hayes, Jamie

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A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data von Annamalai, Meenatchi Sundaram Muthu Selva, Gadotti, Andrea, Rocher, Luc

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Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice von Gadotti, Andrea, Houssiau, Florimond, Annamalai, Meenatchi Sundaram Muthu Selva, de Montjoye, Yves-Alexandre

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Nearly Tight Black-Box Auditing of Differentially Private Machine Learning von Meenatchi Sundaram Muthu Selva Annamalai, De Cristofaro, Emiliano

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The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing, Debugging von Ganev, Georgi, Meenatchi Sundaram Muthu Selva Annamalai, De Cristofaro, Emiliano

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"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation von Meenatchi Sundaram Muthu Selva Annamalai, Ganev, Georgi, De Cristofaro, Emiliano

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FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting von Meenatchi Sundaram Muthu Selva Annamalai, Bilogrevic, Igor, De Cristofaro, Emiliano

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A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data von Meenatchi Sundaram Muthu Selva Annamalai, Gadotti, Andrea, Rocher, Luc

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To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling von Meenatchi Sundaram Muthu Selva Annamalai, Balle, Borja, De Cristofaro, Emiliano, Hayes, Jamie

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Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice von Gadotti, Andrea, Houssiau, Florimond, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye

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