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Ginevra Carbone
Ginevra Carbone
Senior Machine Learning Scientist @ Aindo
Verified email at aindo.com
Title
Cited by
Cited by
Year
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
G Carbone, M Wicker, L Laurenti, A Patane, L Bortolussi, G Sanguinetti
Neural Information Processing Systems (NeurIPS 2020), 2020
792020
Abstraction of Markov Population Dynamics via Generative Adversarial Nets
F Cairoli, G Carbone, L Bortolussi
International Conference on Computational Methods in Systems Biology (CMSB 2021), 2021
82021
ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation
G Carbone, G Sarti
Italian Journal of Computational Linguistics (IJCoL 2020), 2020
82020
On the robustness of bayesian neural networks to adversarial attacks
L Bortolussi, G Carbone, L Laurenti, A Patane, G Sanguinetti, M Wicker
arXiv preprint arXiv:2207.06154, 2022
52022
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking
L Bortolussi, F Cairoli, G Carbone, P Pulcini
arXiv preprint arXiv:2205.05398, 2022
52022
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks
G Carbone, G Sanguinetti, L Bortolussi
The International Joint Conference on Neural Networks (IJCNN 2022), 2021
52021
Adversarial Attacks on Protein Language Models
G Carbone, F Cuturello, L Bortolussi, A Cazzaniga
Machine Learning in Structural Biology (MLSB 2022), 2022
32022
Random Projections for Improved Adversarial Robustness
G Carbone, G Sanguinetti, L Bortolussi
The International Joint Conference on Neural Networks (IJCNN 2021), 2021
32021
Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems
L Bortolussi, F Cairoli, G Carbone, F Franchina, R Enrico
IFAC Conference on Analysis and Design of Hybrid Systems (ADHS 2021), 2020
22020
Robustness and interpretability of neural networks’ predictions under adversarial attacks
G Carbone
Università degli Studi di Trieste, 2023
12023
Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints
D Scassola, S Saccani, G Carbone, L Bortolussi
arXiv preprint arXiv:2308.16534, 2023
2023
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