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Savino Dambra
Savino Dambra
NortonLifeLock Research Group
Bestätigte E-Mail-Adresse bei nortonlifelock.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
“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
912023
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
652020
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
392018
When Sally Met Trackers: Web Tracking From the Users’ Perspective
S Dambra, I Sanchez-Rola, L Bilge, D Balzarotti
31st USENIX Security Symposium, 0
29*
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
192023
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
162018
The Dark Side of Native Code on Android
A Ruggia, A Possemato, S Dambra, A Merlo, S Aonzo, D Balzarotti
Authorea Preprints, 2023
62023
" Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages
A Draganovic, S Dambra, JA Iuit, K Roundy, G Apruzzese
arXiv preprint arXiv:2311.16383, 2023
52023
TOUCAN-VR. Software (DOI: 10.5281/zenodo. 1204442 2018)
S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ...
42018
Unmasking the Veiled: A Comprehensive Analysis of Android Evasive Malware
A Ruggia, D Nisi, S Dambra, A Merlo, D Balzarotti, S Aonzo
ASIAACS 2024, 19th ACM ASIA Conference on Computer and Communications Security, 2024
22024
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
22023
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
22023
TOUCAN-VR-data. Software (DOI: 10.5281/zenodo. 1204392 2018)
S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ...
22018
TOUCAN-VR-data. Software (2018)
S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ...
22018
TOUCAN-VR. Software (2018)
S Dambra, G Samela, L Sassatelli, R Pighetti, R Aparicio-Pardo, ...
22018
Quantifying Carbon Emissions due to Online Third-Party Tracking
M Pachilakis, S Dambra, I Sanchez-Rola, L Bilge
arXiv preprint arXiv:2304.00927, 2023
12023
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
12023
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
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