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Marco Romanelli
Marco Romanelli
Research Associate, New York University Tandon School of Engineering, ECE
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
DOCTOR: A Simple Method for Detecting Misclassification Errors
F Granese, M Romanelli, D Gorla, C Palamidessi, P Piantanida
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
392021
Generating optimal privacy-protection mechanisms via machine learning
M Romanelli, C Palamidessi, K Chatzikokolakis
33rd IEEE Computer Security Foundations Symposium, CSF 2020, 2019
20*2019
Estimating g-leakage via machine learning
M Romanelli, K Chatzikokolakis, C Palamidessi, P Piantanida
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
132020
Feature selection with Rényi min-entropy
C Palamidessi, M Romanelli
Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018
102018
Perfectly accurate membership inference by a dishonest central server in federated learning
G Pichler, M Romanelli, LR Vega, P Piantanida
IEEE Transactions on Dependable and Secure Computing, 2023
92023
A halfspace-mass depth-based method for adversarial attack detection
P Colombo, M Picot, F Granese, M Romanelli, F Messina, P Piant
Transactions on Machine Learning Research Journal, 2023
82023
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors
F Granese, M Picot, M Romanelli, F Messina, P Piantanida
Proceedings of the 2022 European Conference on Machine Learning and Data …, 2022
62022
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
E Dadalto Camara Gomes, M Romanelli, G Pichler, P Piantanida
The Twelfth International Conference on Learning Representations (ICLR) 2024, 2024
3*2024
Machine learning methods for privacy protection: leakage measurement and mechanisms design
M Romanelli
Institut Polytechnique de Paris; Università degli studi (Sienne, Italie), 2020
22020
STRAIN: an R package for multi-locus sequence typing from whole genome sequencing data
M Dalsass, M Bodini, C Lambert, MC Mortier, M Romanelli, D Medini, ...
BMC bioinformatics 20, 1-8, 2019
12019
On the (In)feasibility of ML Backdoor Detection
G Pichler, M Romanelli, DP Manivannan, K Prashanth, F Khorrami, ...
27th International Conference on Artificial Intelligence and Statistics …, 2024
2024
Optimal Zero-Shot Detector for Multi-Armed Attacks
F Granese, M Romanelli, P Piantanida
27th International Conference on Artificial Intelligence and Statistics …, 2024
2024
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
AB Chowdhury, M Romanelli, B Tan, R Karri, S Garg
International Conference on Learning Representations (ICLR) 2024, 2024
2024
Beyond the Norms: Detecting Prediction Errors in Regression Models
A Altieri, M Romanelli, G Pichler, F Alberge, P Piantanida
Forty-first International Conference on Machine Learning (ICML 2024), 2024
2024
Disparate Impact on Group Accuracy of Linearization for Private Inference
S Das, M Romanelli, F Fioretto
Forty-first International Conference on Machine Learning (ICML 2024), 2024
2024
On the Limitation of Backdoor Detection Methods
G Pichler, M Romanelli, DP Manivannan, P Krishnamurthy, F Khorrami, ...
NeurIPS 2023 Workshop on Backdoors in Deep Learning-The Good, the Bad, and …, 2023
2023
Méthodes d'apprentissage machine pour la protection de la vie privée: mesure de leakage et design des mécanismes
M Romanelli
Institut polytechnique de Paris, 2020
2020
Modern Applications of Game-Theoretic Principles
C Palamidessi, M Romanelli
CONCUR 2020-31st International Conference on Concurrency Theory 171, 4: 1–4: 9, 2020
2020
Derivation of Constraints from Machine Learning Models and Applications to Security and Privacy
M Falaschi, C Palamidessi, M Romanelli
OPEN ACCESS SERIES IN INFORMATICS 86, 2020
2020
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Articles 1–19