I am a Doctoral Researcher in the Information Security Group at University College London, advised by Prof. George Danezis and Prof. Emiliano De Cristofaro.
My research focuses on Machine Learning Robustness and AI Safety, while I also pursue projects on Distributed Systems, Trusted Hardware, Privacy-preserving Statistics and Market Manipulation.
I am currently working on worst-case robustness in ML systems and guarantees that a given trained model fails catastrophically with negligible probability. Moreover, I am experimenting with minimizing side-effects and misspecification in reinforcement learning models.
Besides these, I also work on a variety of other topics usually related with security, privacy, and systems design. Two recent works are Snappy (i.e., a fast payment solution designed for slow permisionless blockchains) and my study on stock exchange infrastructure exploitation (see Publications). Additionally, in cooperation with industrial partners, we released a prototype of our novel high-assurance cryptographic hardware architecture. Moreover, our study on ultrasound tracking received wide-spread attention and is considered the seminal work in this area. With Petr Svenda, we created and maintained the first open-source cryptographic library for JavaCards.
In the past, I developed auditing tools for the Public Key Infrastructure of Deutsche Bank and participated in an international consortium studying large-scale security threats in telecommunication networks. Furthermore, I cooperated with the Computer Security Group of University of California, Santa Barbara in several projects, including a detection system for evasive web-malware.
If you have any fun project ideas, feel free to drop me a line.
Market Manipulation as a Security Problem: The case of decentralized exchanges.
Mavroudis V., 26th International Workshop on Security Protocols, April 2019 (to appear)
Market Manipulation as a Security Problem: Attacks and Defenses
Mavroudis V., 12th European Workshop on Systems Security (EuroSec), March 2019 (to appear)
Snappy: Fast Blockchain Payments.
Mavroudis V., , Wuest K., Dhar A., Kostiainen K., Capkun S., Under submission. Feb 2019
Location, location, location: Revisiting modeling and exploitation for location-based side channel leakages.
Papagiannopoulos K., Andrikos C., Rassias G., Mavroudis V., Sonnino A., Lerman L., Chmielewski L., Batina L., Under Submission, Feb 2019
Towards Low-level Cryptographic Primitives for JavaCards.
Vasilios Mavroudis, Petr Svenda. Oct 2018
VAMS: Verifiable Auditing of Access to Confidential Data.
Alexander Hicks, Vasilios Mavroudis, Mustafa Al-Bassam, Sarah Meiklejohn, and Steven J. Murdoch. May 2018
Eavesdropping Whilst Youre Shopping: Balancing Personalisation and Privacy in Connected Retail Spaces [PDF]
Mavroudis V., Veale M. (Equal Contribution), PETRAS/IoTUK/IET Living in the IoT Conference, 2018.
A Touch of Evil: High-Assurance Cryptographic Hardware from Untrusted Components [PDF, ArXiv]
Mavroudis V., Cerulli A., Svenda P., Cvrcek D., Klinec D., Danezis G., 24th ACM Conference on Computer and Communications Security, 2017.
CSAW 2018 Applied Research Competition Finalist.
On the Privacy and Security of the Ultrasound Tracking Ecosystem [PDF]
Mavroudis V., Hao S., Fratantonio Y., Maggi F., Kruegel C., Vigna G., Proceedings of the Privacy Enhancing Technologies Symposium, 2017
Visual Analytics for Enhancing Supervised Attack Attribution in Mobile Networks [PDF]
Papadopoulos S., Mavroudis V., Drosou A., Tzovaras D., 29th International Symposium on Computer and Information Sciences, 2014
Development of Realtime Mobile Security Monitoring System
Mavroudis V., Mavridis I., 2nd Conference on Information Technology Applications and Administration Strategies, 2010.
Use and Effective Application of Free and Open Source Software in Education
Mavroudis V., Mouratis S., 4th National Conference of Information Technology Educators, 2010.
The Ultrasound Tracking Ecosystem.
Vasilios Mavroudis, Shuang Hao, Yanick Fratantonio, Federico Maggi, Giovanni Vigna, and Christopher Kruegel. November 2016
Correlation Analysis and Abnormal Event Detection Module.
EU FP7 Project: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem
Anomaly detection based on real-time exploitation of billing systems.
EU FP7 Project: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem
Anomaly detection within femtocell architectures.
EU FP7 Project: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem
Network information sources.
EU FP7 Project: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem
Crux: Privacy-preserving Statistics for Tor, Information Security Group, University College London, UK, 2015.
Supervisor: George Danezis
Cassiopeia: Real-time mobile security monitoring system, Dept. of Applied Informatics, University of Macedonia, Greece, 2012.
Supervisor: Ioannis Mavridis