| “Real Attackers Don't Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice G Apruzzese, HS Anderson, S Dambra, D Freeman, F Pierazzi, K Roundy 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 339-364, 2023 | 110 | 2023 |
| SoK: Cyber insurance–technical challenges and a system security roadmap S Dambra, L Bilge, D Balzarotti 2020 IEEE Symposium on Security and Privacy (SP), 1367-1383, 2020 | 72 | 2020 |
| Film editing: New levers to improve VR streaming S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ... Proceedings of the 9th ACM Multimedia Systems Conference, 27-39, 2018 | 41 | 2018 |
| When Sally Met Trackers: Web Tracking From the Users’ Perspective S Dambra, I Sanchez-Rola, L Bilge, D Balzarotti 31st USENIX Security Symposium, 0 | 33* | |
| Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance S Dambra, Y Han, S Aonzo, P Kotzias, A Vitale, J Caballero, D Balzarotti, ... Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 21 | 2023 |
| Snap-changes: a Dynamic Editing Strategy for Directing Viewer's Attention in Streaming Virtual Reality Videos L Sassatelli, AM Déry-Pinna, M Winckler, S Dambra, G Samela, R Pighetti, ... ACM International Conference on Advanced Visual Interfaces, 2018 | 17 | 2018 |
| The dark side of native code on android A Ruggia, A Possemato, S Dambra, A Merlo, S Aonzo, D Balzarotti ACM Transactions on Privacy and Security, 2022 | 11 | 2022 |
| “Do Users Fall for Real Adversarial Phishing?” Investigating the Human Response to Evasive Webpages A Draganovic, S Dambra, JA Iuit, K Roundy, G Apruzzese 2023 APWG Symposium on Electronic Crime Research (eCrime), 1-14, 2023 | 6 | 2023 |
| TOUCAN-VR. Software (DOI: 10.5281/zenodo. 1204442 2018) S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ... | 4 | 2018 |
| Unmasking the veiled: A comprehensive analysis of android evasive malware A Ruggia, D Nisi, S Dambra, A Merlo, D Balzarotti, S Aonzo Proceedings of the 19th ACM Asia Conference on Computer and Communications …, 2024 | 3 | 2024 |
| Systems and methods for utilizing user profile data to protect against phishing attacks DL Silva, J Roturier, P Efstathopoulos, IS Rola, S Dambra, P Kotzias, ... US Patent App. 17/805,648, 2023 | 3 | 2023 |
| A comparison of systemic and systematic risks of malware encounters in consumer and enterprise environments S Dambra, L Bilge, D Balzarotti ACM Transactions on Privacy and Security 26 (2), 1-30, 2023 | 2 | 2023 |
| One size does not fit all: Quantifying the risk of malicious app encounters for different android user profiles S Dambra, L Bilge, P Kotzias, Y Shen, J Caballero 32nd USENIX Security Symposium (USENIX Security 23), 5683-5700, 2023 | 2 | 2023 |
| TOUCAN-VR-data. Software (DOI: 10.5281/zenodo. 1204392 2018) S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ... | 2 | 2018 |
| TOUCAN-VR-data. Software (2018) S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ... | 2 | 2018 |
| TOUCAN-VR. Software (2018) S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ... | 2 | 2018 |
| Quantifying Carbon Emissions due to Online Third-Party Tracking M Pachilakis, S Dambra, I Sanchez-Rola, L Bilge arXiv preprint arXiv:2304.00927, 2023 | 1 | 2023 |
| Infection Risk Prediction and Management L Bilge, S Dambra Encyclopedia of Cryptography, Security and Privacy, 1-5, 2023 | | 2023 |
| Data-driven risk quantification for proactive security S Dambra Sorbonne Université, 2021 | | 2021 |
| Data-driven risk quantification for proactive security.(Quantification du risque basée sur l'analyse des données pour une sécurité proactive). S Dambra Sorbonne University, Paris, France, 2021 | | 2021 |
Davide BalzarottiProfessor, EurecomAdresse e-mail validée de eurecom.fr