Giovanni Cherubin

Orcid: 0000-0001-7943-540X

According to our database1, Giovanni Cherubin authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition.
CoRR, 2024

Are you still on track!? Catching LLM Task Drift with Activations.
CoRR, 2024

Closed-Form Bounds for DP-SGD against Record-level Inference.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Bayes Security: A Not So Average Metric.
Proceedings of the 36th IEEE Computer Security Foundations Symposium, 2023

How do the performance of a Conformal Predictor and its underlying algorithm relate?
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Approximating Full Conformal Prediction at Scale via Influence Functions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Disparate Vulnerability to Membership Inference Attacks.
Proc. Priv. Enhancing Technol., 2022

Synthetic Data - what, why and how?
CoRR, 2022

Online Website Fingerprinting: Evaluating Website Fingerprinting Attacks on Tor in the Real World.
Proceedings of the 31st USENIX Security Symposium, 2022

Reconstructing Training Data with Informed Adversaries.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Preface.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

Fast conformal classification using influence functions.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020
The Bayes Security Measure.
CoRR, 2020

2019
Black-box security: measuring black-box information leakage via machine learning.
PhD thesis, 2019

Majority vote ensembles of conformal predictors.
Mach. Learn., 2019

F-BLEAU: Fast Black-Box Leakage Estimation.
Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

2018
Exchangeability martingales for selecting features in anomaly detection.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017
Website Fingerprinting Defenses at the Application Layer.
Proc. Priv. Enhancing Technol., 2017

Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses.
Proc. Priv. Enhancing Technol., 2017

2016
Hidden Markov Models with Confidence.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

2015
Conformal Clustering and Its Application to Botnet Traffic.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015


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