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Giovanni Cherubin
Giovanni Cherubin
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Website fingerprinting defenses at the application layer
G Cherubin, J Hayes, M Juarez
Proceedings on Privacy Enhancing Technologies 2017 (2), 186-203, 2017
922017
Reconstructing training data with informed adversaries
B Balle, G Cherubin, J Hayes
2022 IEEE Symposium on Security and Privacy (SP), 1138-1156, 2022
662022
Synthetic Data--what, why and how?
J Jordon, L Szpruch, F Houssiau, M Bottarelli, G Cherubin, C Maple, ...
arXiv preprint arXiv:2205.03257, 2022
622022
Bayes, not Nave: Security Bounds on Website Fingerprinting Defenses
G Cherubin
Proceedings on Privacy Enhancing Technologies 2017 (4), 215-231, 2017
452017
Disparate vulnerability: On the unfairness of privacy attacks against machine learning
M Yaghini, B Kulynych, G Cherubin, C Troncoso
arXiv e-prints, arXiv: 1906.00389, 2019
402019
Online website fingerprinting: Evaluating website fingerprinting attacks on Tor in the real world
G Cherubin, R Jansen, C Troncoso
31st USENIX Security Symposium (USENIX Security 22), 753-770, 2022
332022
F-BLEAU: fast black-box leakage estimation
G Cherubin, K Chatzikokolakis, C Palamidessi
2019 IEEE Symposium on Security and Privacy (SP), 835-852, 2019
332019
Disparate vulnerability to membership inference attacks
B Kulynych, M Yaghini, G Cherubin, M Veale, C Troncoso
arXiv preprint arXiv:1906.00389, 2019
272019
Conformal clustering and its application to botnet traffic
G Cherubin, I Nouretdinov, A Gammerman, R Jordaney, Z Wang, D Papini, ...
Statistical Learning and Data Sciences: Third International Symposium, SLDS…, 2015
222015
Majority Vote Ensembles of Conformal Predictors
G Cherubin
172018
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
G Cherubin, K Chatzikokolakis, M Jaggi
Proceedings of the 38th International Conference on Machine Learning 139…, 2021
132021
SoK: Let the privacy games begin! A unified treatment of data inference privacy in machine learning
A Salem, G Cherubin, D Evans, B Kpf, A Paverd, A Suri, S Tople, ...
2023 IEEE Symposium on Security and Privacy (SP), 327-345, 2023
62023
Approximating full conformal prediction at scale via influence functions
J Abad, U Bhatt, A Weller, G Cherubin
arXiv preprint arXiv:2202.01315, 2022
52022
The Bayes security measure
K Chatzikokolakis, G Cherubin, C Palamidessi, C Troncoso
arXiv preprint arXiv:2011.03396, 2020
52020
Exchangeability martingales for selecting features in anomaly detection
G Cherubin, A Baldwin, J Griffin
Conformal and Probabilistic Prediction and Applications, 157-170, 2018
52018
Synthetic data–what, why and how?, 2022
J Jordon, L Szpruch, F Houssiau, M Bottarelli, G Cherubin, C Maple, ...
URL https://arxiv. org/abs/2205.03257, 0
5
Hidden markov models with confidence
G Cherubin, I Nouretdinov
Symposium on Conformal and Probabilistic Prediction with Applications, 128-144, 2016
32016
Bots detection by Conformal Clustering
G Cherubin
MSc thesis, Royal Holloway, 2014. URL https://giocher. com/files/docs/bdcc…, 2014
32014
Bayes Security: A Not So Average Metric
K Chatzikokolakis, G Cherubin, C Palamidessi, C Troncoso
2023 IEEE 36th Computer Security Foundations Symposium (CSF), 388-406, 2023
22023
Fast conformal classification using influence functions
U Bhatt, A Weller, G Cherubin
Conformal and Probabilistic Prediction and Applications, 303-305, 2021
12021
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