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2020 – today
- 2024
[c9]Antonio Ruggia
, Dario Nisi, Savino Dambra, Alessio Merlo, Davide Balzarotti, Simone Aonzo:
Unmasking the Veiled: A Comprehensive Analysis of Android Evasive Malware. AsiaCCS 2024- 2023
- [j1]Savino Dambra, Leyla Bilge, Davide Balzarotti:
A Comparison of Systemic and Systematic Risks of Malware Encounters in Consumer and Enterprise Environments. ACM Trans. Priv. Secur. 26(2): 16:1-16:30 (2023) - [c8]Savino Dambra, Yufei Han, Simone Aonzo, Platon Kotzias, Antonino Vitale, Juan Caballero, Davide Balzarotti, Leyla Bilge:
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance. CCS 2023: 60-74 - [c7]Ajka Draganovic, Savino Dambra, Javier Aldana-Iuit, Kevin Alejandro Roundy, Giovanni Apruzzese:
"Do Users Fall for Real Adversarial Phishing?" Investigating the Human Response to Evasive Webpages. eCrime 2023: 1-14 - [c6]Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy:
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML 2023: 339-364 - [c5]Savino Dambra, Leyla Bilge, Platon Kotzias, Yun Shen, Juan Caballero:
One Size Does not Fit All: Quantifying the Risk of Malicious App Encounters for Different Android User Profiles. USENIX Security Symposium 2023: 5683-5700 - [i5]Savino Dambra, Leyla Bilge, Platon Kotzias, Yun Shen, Juan Caballero:
One Size Does not Fit All: Quantifying the Risk of Malicious App Encounters for Different Android User Profiles. CoRR abs/2301.07346 (2023) - [i4]Michalis Pachilakis, Savino Dambra, Iskander Sánchez-Rola, Leyla Bilge:
Quantifying Carbon Emissions due to Online Third-Party Tracking. CoRR abs/2304.00927 (2023) - [i3]Savino Dambra, Yufei Han, Simone Aonzo, Platon Kotzias, Antonino Vitale, Juan Caballero, Davide Balzarotti, Leyla Bilge:
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance. CoRR abs/2307.14657 (2023) - [i2]Ajka Draganovic, Savino Dambra, Javier Aldana-Iuit, Kevin A. Roundy, Giovanni Apruzzese:
"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages. CoRR abs/2311.16383 (2023) - 2022
- [c4]Savino Dambra, Iskander Sánchez-Rola, Leyla Bilge, Davide Balzarotti:
When Sally Met Trackers: Web Tracking From the Users' Perspective. USENIX Security Symposium 2022: 2189-2206 - [i1]Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy:
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. CoRR abs/2212.14315 (2022) - 2021
- [b1]Savino Dambra:
Data-driven risk quantification for proactive security. (Quantification du risque basée sur l'analyse des données pour une sécurité proactive). Sorbonne University, Paris, France, 2021 - 2020
- [c3]Savino Dambra, Leyla Bilge, Davide Balzarotti:
SoK: Cyber Insurance - Technical Challenges and a System Security Roadmap. SP 2020: 1367-1383
2010 – 2019
- 2018
- [c2]Lucile Sassatelli, Anne-Marie Pinna-Dery, Marco Winckler, Savino Dambra, Giuseppe Samela, Romaric Pighetti, Ramon Aparicio-Pardo:
Snap-changes: a dynamic editing strategy for directing viewer's attention in streaming virtual reality videos. AVI 2018: 46:1-46:5 - [c1]Savino Dambra, Giuseppe Samela, Lucile Sassatelli, Romaric Pighetti, Ramon Aparicio-Pardo, Anne-Marie Pinna-Dery:
Film editing: new levers to improve VR streaming. MMSys 2018: 27-39
Coauthor Index
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