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ORCIDGiovanni Cherubin
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2020 – today
- 2024
[c14]Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin:
Closed-Form Bounds for DP-SGD against Record-level Inference. USENIX Security Symposium 2024- [i11]Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin:
Closed-Form Bounds for DP-SGD against Record-level Inference. CoRR abs/2402.14397 (2024) - [i10]Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd:
Are you still on track!? Catching LLM Task Drift with Activations. CoRR abs/2406.00799 (2024) - [i9]Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR abs/2406.07954 (2024) - 2023
- [c13]Javier Abad Martinez
, Umang Bhatt, Adrian Weller, Giovanni Cherubin:
Approximating Full Conformal Prediction at Scale via Influence Functions. AAAI 2023: 6631-6639 - [c12]Giovanni Cherubin:
How do the performance of a Conformal Predictor and its underlying algorithm relate? COPA 2023: 546-548 - [c11]Konstantinos Chatzikokolakis, Giovanni Cherubin, Catuscia Palamidessi, Carmela Troncoso:
Bayes Security: A Not So Average Metric. CSF 2023: 388-406 - [c10]Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella Béguelin:
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. SP 2023: 327-345 - 2022
- [j4]Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso:
Disparate Vulnerability to Membership Inference Attacks. Proc. Priv. Enhancing Technol. 2022(1): 460-480 (2022) - [c9]Borja Balle, Giovanni Cherubin, Jamie Hayes:
Reconstructing Training Data with Informed Adversaries. SP 2022: 1138-1156 - [c8]Giovanni Cherubin, Rob Jansen, Carmela Troncoso:
Online Website Fingerprinting: Evaluating Website Fingerprinting Attacks on Tor in the Real World. USENIX Security Symposium 2022: 753-770 - [i8]Borja Balle, Giovanni Cherubin, Jamie Hayes:
Reconstructing Training Data with Informed Adversaries. CoRR abs/2201.04845 (2022) - [i7]Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin:
Approximating Full Conformal Prediction at Scale via Influence Functions. CoRR abs/2202.01315 (2022) - [i6]James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N. Cohen, Adrian Weller:
Synthetic Data - what, why and how? CoRR abs/2205.03257 (2022) - [i5]Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella Béguelin:
SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. CoRR abs/2212.10986 (2022) - 2021
- [c7]Lars Carlsson, Zhiyuan Luo, Giovanni Cherubin, Khuong An Nguyen:
Preface. COPA 2021: 1-3 - [c6]Umang Bhatt, Adrian Weller, Giovanni Cherubin:
Fast conformal classification using influence functions. COPA 2021: 303-305 - [c5]Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi:
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning. ICML 2021: 1836-1845 - [e2]Lars Carlsson, Zhiyuan Luo, Giovanni Cherubin, Khuong An Nguyen:
Conformal and Probabilistic Prediction and Applications, 8-10 September 2021, Virtual Event. Proceedings of Machine Learning Research 152, PMLR 2021 [contents] - [i4]Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi:
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning. CoRR abs/2102.03236 (2021) - 2020
- [e1]Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Giovanni Cherubin, Marco Christini:
Conformal and Probabilistic Prediction and Applications, COPA 2020, 9-11 September 2020, Virtual Event. Proceedings of Machine Learning Research 128, PMLR 2020 [contents] - [i3]Konstantinos Chatzikokolakis, Giovanni Cherubin, Catuscia Palamidessi, Carmela Troncoso:
The Bayes Security Measure. CoRR abs/2011.03396 (2020)
2010 – 2019
- 2019
- [b1]Giovanni Cherubin:
Black-box security: measuring black-box information leakage via machine learning. Royal Holloway, University of London, Egham, UK, 2019 - [j3]Giovanni Cherubin:
Majority vote ensembles of conformal predictors. Mach. Learn. 108(3): 475-488 (2019) - [c4]Giovanni Cherubin, Konstantinos Chatzikokolakis, Catuscia Palamidessi:
F-BLEAU: Fast Black-Box Leakage Estimation. IEEE Symposium on Security and Privacy 2019: 835-852 - [i2]Giovanni Cherubin, Konstantinos Chatzikokolakis, Catuscia Palamidessi:
F-BLEAU: Fast Black-box Leakage Estimation. CoRR abs/1902.01350 (2019) - 2018
- [c3]Giovanni Cherubin, Adrian Baldwin, Jonathan Griffin:
Exchangeability martingales for selecting features in anomaly detection. COPA 2018: 157-170 - 2017
- [j2]Giovanni Cherubin, Jamie Hayes, Marc Juarez:
Website Fingerprinting Defenses at the Application Layer. Proc. Priv. Enhancing Technol. 2017(2): 186-203 (2017) - [j1]Giovanni Cherubin:
Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses. Proc. Priv. Enhancing Technol. 2017(4): 215-231 (2017) - [i1]Giovanni Cherubin:
Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses. CoRR abs/1702.07707 (2017) - 2016
- [c2]Giovanni Cherubin, Ilia Nouretdinov:
Hidden Markov Models with Confidence. COPA 2016: 128-144 - 2015
- [c1]Giovanni Cherubin, Ilia Nouretdinov, Alexander Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro:
Conformal Clustering and Its Application to Botnet Traffic. SLDS 2015: 313-322
Coauthor Index
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