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Giovanni Cherubin
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Year
Website fingerprinting defenses at the application layer
G Cherubin, J Hayes, M Juarez
Proceedings on Privacy Enhancing Technologies 2017 (2), 186-203, 2017
1002017
Reconstructing training data with informed adversaries
B Balle, G Cherubin, J Hayes
2022 IEEE Symposium on Security and Privacy (SP), 1138-1156, 2022
992022
Synthetic Data--what, why and how?
J Jordon, L Szpruch, F Houssiau, M Bottarelli, G Cherubin, C Maple, ...
arXiv preprint arXiv:2205.03257, 2022
872022
Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses
G Cherubin
Proceedings on Privacy Enhancing Technologies 2017 (4), 215-231, 2017
512017
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
442019
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
412022
F-BLEAU: fast black-box leakage estimation
G Cherubin, K Chatzikokolakis, C Palamidessi
2019 IEEE Symposium on Security and Privacy (SP), 835-852, 2019
342019
Disparate vulnerability to membership inference attacks
B Kulynych, M Yaghini, G Cherubin, M Veale, C Troncoso
arXiv preprint arXiv:1906.00389, 2019
292019
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
252015
Majority Vote Ensembles of Conformal Predictors
G Cherubin
172018
SoK: Let the privacy games begin! A unified treatment of data inference privacy in machine learning
A Salem, G Cherubin, D Evans, B Köpf, A Paverd, A Suri, S Tople, ...
2023 IEEE Symposium on Security and Privacy (SP), 327-345, 2023
162023
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
152021
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
11*2023
Approximating full conformal prediction at scale via influence functions
JA Martinez, U Bhatt, A Weller, G Cherubin
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6631-6639, 2023
7*2023
Conformal and probabilistic prediction with applications
A Gammerman, V Vovk, H Boström, L Carlsson
Machine Learning 108, 379-380, 2019
62019
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, ...
arXiv preprint arXiv:2205.03257, 0
4
Fast conformal classification using influence functions
U Bhatt, A Weller, G Cherubin
Conformal and Probabilistic Prediction and Applications, 303-305, 2021
32021
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
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