Sfoglia per Autore
Quite a mess in my cookie jar! Leveraging machine learning to protect web authentication
2014 Calzavara, Stefano; Tolomei, Gabriele; Bugliesi, Michele; Orlando, Salvatore
GENERATING ACTIONABLE SUGGESTIONS FOR IMPROVING USER ENGAGEMENT
2015 Silvestri, F; Tolomei, G; Trevisiol, M; Barbieri, N; Lalmas, M; Sangal, Pm
Promoting positive post-click experience for in-stream yahoo gemini users
2015 Lalmas, Mounia; Lehmann, Janette; Shaked, Guy; Silvestri, Fabrizio; Tolomei, Gabriele
A supervised learning approach to protect client authentication on the web
2015 CALZAVARA, STEFANO; TOLOMEI, GABRIELE; Casini, Andrea; BUGLIESI, Michele; ORLANDO, Salvatore
Generating actionable suggestions for improving user engagement with online advertisements
2015 Trevisiol, Michele; Tolomei, Gabriele; Barbieri, Nicola; Lalmas, Mounia; Mohan Sangal, Puneet; Silvestri, Fabrizio
Learning to rank user queries to detect search tasks
2016 Lucchese, Claudio; Maria Nardini, Franco; Orlando, Salvatore; Tolomei, Gabriele
Interpretable predictions of tree-based ensembles via actionable feature tweaking
2017 Tolomei, Gabriele; Silvestri, Fabrizio; Haines, Andrew; Lalmas, Mounia
Changing machine learning classification of digital content
2017 Tolomei, Gabriele; Haines, Andy; Lalmas, Mounia; Silvestri, Fabrizio
Spot the difference: your bucket is leaking. A novel methodology to expose A/B testing effortlessly
2018 Conti, Mauro; Gangwal, Ankit; Sarada Prasad, Gochhayat; Tolomei, Gabriele
Advertising in the IoT era: vision and challenges
2018 Aksu, Hidayet; Babun, Leonardo; Conti, Mauro; Tolomei, Gabriele; Selcuk Uluagac, A.
Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities
2019 Calzavara, Stefano; Conti, Mauro; Focardi, Riccardo; Rabitti, Alvise; Tolomei, Gabriele
Adversarial training of gradient-boosted decision trees
2019 Calzavara, S.; Lucchese, C.; Tolomei, Gabriele
You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction
2019 Tolomei, Gabriele; Lalmas, Mounia; Farahat, Ayman; Haines, Andrew
Treant: training evasion-aware decision trees
2020 Calzavara, S.; Lucchese, C.; Tolomei, G.; Abebe, S. A.; Orlando, S.
Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery
2020 Calzavara, Stefano; Conti, Mauro; Focardi, Riccardo; Rabitti, Alvise; Tolomei, Gabriele
Generating actionable interpretations from ensembles of decision trees
2021 Tolomei, Gabriele; Silvestri, Fabrizio
Turning Federated Learning Systems into Covert Channels
2022 Costa, Gabriele; Pinelli, Fabio; Soderi, Simone; Tolomei, Gabriele
Editorial: Human-Interpretable Machine Learning
2022 Tolomei, Gabriele; Pinelli, Fabio; Silvestri, Fabrizio
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
2022 Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
2022 Chen, Z.; Silvestri, F.; Wang, J.; Zhu, H.; Ahn, H.; Tolomei, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Quite a mess in my cookie jar! Leveraging machine learning to protect web authentication | 2014 | Calzavara, Stefano; Tolomei, Gabriele; Bugliesi, Michele; Orlando, Salvatore | |
| GENERATING ACTIONABLE SUGGESTIONS FOR IMPROVING USER ENGAGEMENT | 2015 | Silvestri, F; Tolomei, G; Trevisiol, M; Barbieri, N; Lalmas, M; Sangal, Pm | |
| Promoting positive post-click experience for in-stream yahoo gemini users | 2015 | Lalmas, Mounia; Lehmann, Janette; Shaked, Guy; Silvestri, Fabrizio; Tolomei, Gabriele | |
| A supervised learning approach to protect client authentication on the web | 2015 | CALZAVARA, STEFANO; TOLOMEI, GABRIELE; Casini, Andrea; BUGLIESI, Michele; ORLANDO, Salvatore | |
| Generating actionable suggestions for improving user engagement with online advertisements | 2015 | Trevisiol, Michele; Tolomei, Gabriele; Barbieri, Nicola; Lalmas, Mounia; Mohan Sangal, Puneet; Silvestri, Fabrizio | |
| Learning to rank user queries to detect search tasks | 2016 | Lucchese, Claudio; Maria Nardini, Franco; Orlando, Salvatore; Tolomei, Gabriele | |
| Interpretable predictions of tree-based ensembles via actionable feature tweaking | 2017 | Tolomei, Gabriele; Silvestri, Fabrizio; Haines, Andrew; Lalmas, Mounia | |
| Changing machine learning classification of digital content | 2017 | Tolomei, Gabriele; Haines, Andy; Lalmas, Mounia; Silvestri, Fabrizio | |
| Spot the difference: your bucket is leaking. A novel methodology to expose A/B testing effortlessly | 2018 | Conti, Mauro; Gangwal, Ankit; Sarada Prasad, Gochhayat; Tolomei, Gabriele | |
| Advertising in the IoT era: vision and challenges | 2018 | Aksu, Hidayet; Babun, Leonardo; Conti, Mauro; Tolomei, Gabriele; Selcuk Uluagac, A. | |
| Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities | 2019 | Calzavara, Stefano; Conti, Mauro; Focardi, Riccardo; Rabitti, Alvise; Tolomei, Gabriele | |
| Adversarial training of gradient-boosted decision trees | 2019 | Calzavara, S.; Lucchese, C.; Tolomei, Gabriele | |
| You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction | 2019 | Tolomei, Gabriele; Lalmas, Mounia; Farahat, Ayman; Haines, Andrew | |
| Treant: training evasion-aware decision trees | 2020 | Calzavara, S.; Lucchese, C.; Tolomei, G.; Abebe, S. A.; Orlando, S. | |
| Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery | 2020 | Calzavara, Stefano; Conti, Mauro; Focardi, Riccardo; Rabitti, Alvise; Tolomei, Gabriele | |
| Generating actionable interpretations from ensembles of decision trees | 2021 | Tolomei, Gabriele; Silvestri, Fabrizio | |
| Turning Federated Learning Systems into Covert Channels | 2022 | Costa, Gabriele; Pinelli, Fabio; Soderi, Simone; Tolomei, Gabriele | |
| Editorial: Human-Interpretable Machine Learning | 2022 | Tolomei, Gabriele; Pinelli, Fabio; Silvestri, Fabrizio | |
| NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks | 2022 | Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio | |
| ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models | 2022 | Chen, Z.; Silvestri, F.; Wang, J.; Zhu, H.; Ahn, H.; Tolomei, G. |
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