| Privacy-preserving collective learning with homomorphic encryption J Paul, MSMS Annamalai, W Ming, A Al Badawi, B Veeravalli, KMM Aung IEEE Access 9, 132084-132096, 2021 | 24 | 2021 |
| Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice A Gadotti, F Houssiau, MSMS Annamalai, YA de Montjoye 31st USENIX Security Symposium (USENIX Security 22), 501-518, 2022 | 14 | 2022 |
| A linear reconstruction approach for attribute inference attacks against synthetic data MSMS Annamalai, A Gadotti, L Rocher arXiv preprint arXiv:2301.10053, 2023 | 7 | 2023 |
| The observatory of anonymity: An interactive tool to understand re-identification risks in 89 countries L Rocher, MS Muthu, YA de Montjoye Companion Proceedings of the Web Conference 2021, 687-689, 2021 | 3 | 2021 |
| CoVnita, an end-to-end privacy-preserving framework for SARS-CoV-2 classification JJ Sim, W Zhou, FM Chan, MSMS Annamalai, X Deng, BHM Tan, ... Scientific Reports 13 (1), 7461, 2023 | 1 | 2023 |
| Nearly Tight Black-Box Auditing of Differentially Private Machine Learning MSMS Annamalai, E De Cristofaro arXiv preprint arXiv:2405.14106, 2024 | | 2024 |
| " What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation MSMS Annamalai, G Ganev, E De Cristofaro arXiv preprint arXiv:2405.10994, 2024 | | 2024 |
| FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting MSMS Annamalai, I Bilogrevic, E De Cristofaro arXiv preprint arXiv:2311.16940, 2023 | | 2023 |
| Communication-Efficient Secure Federated Statistical Tests from Multiparty Homomorphic Encryption MSMS Annamalai, C Jin, KMM Aung Applied Sciences 12 (22), 11462, 2022 | | 2022 |
| Differentially Private, Federated Learning on Gene Expression Data for Tumour Classification S Meftah, MSMS Annamalai, DJF Byrne, KMM Aung, B Veeravalli | | |
