Apostolis Zarras

According to our database, Apostolis Zarras authored at least 41 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RAMA: a risk assessment solution for healthcare organizations.

Michail Smyrlis, Evangelos Floros, Ioannis Basdekis, Dumitru-Bogdan Prelipcean, Aristeidis Sotiropoulos, Hervé Debar, Apostolis Zarras, George Spanoudakis

Int. J. Inf. Sec., June, 2024

INCHAIN: a cyber insurance architecture with smart contracts and self-sovereign identity on top of blockchain.

Aristeidis Farao, Georgios Paparis, Sakshyam Panda, Emmanouil Panaousis, Apostolis Zarras, Christos Xenakis

Int. J. Inf. Sec., February, 2024

2023

Defense strategies for Adversarial Machine Learning: A survey.

Panagiotis Bountakas, Apostolis Zarras, Alexios Lekidis, Christos Xenakis

Comput. Sci. Rev., August, 2023

White paper on cybersecurity in the healthcare sector. The HEIR solution.

Konstantinos Lampropoulos, Apostolis Zarras, Eftychia Lakka, Polyanthi Barmpaki, Kostas Drakonakis, Manos Athanatos, Hervé Debar, Andreas Alexopoulos, Aristeidis Sotiropoulos, George Tsakirakis, Nikos Dimakopoulos, Dimitris Tsolovos, Matthias Pocs, Michalis Smyrlis, Ioannis Basdekis, Georgios Spanoudakis, Ovidiu Mihaila, Bogdan Prelipcean, Eliot Salant, Sotiris Athanassopoulos, Petros Papachristou, Ioannis Ladakis, John Chang, Evangelos Floros, Konstantinos Smyrlis, Rouven Besters, Pietro Randine, Karianna Fjeld Lovaas, John Cooper, Iulia Ilie, Gabriel Danciu, Marwan Darwish Khabbaz

CoRR, 2023

Vacant holes for unsupervised detection of the outliers in compact latent representation.

Misha Glazunov, Apostolis Zarras

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Free Willy: Prune System Calls to Enhance Software Security.

Charlie Groh, Sergej Proskurin, Apostolis Zarras

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Digital Forgetting Using Key Decay.

Marwan Adnan Darwish, Apostolis Zarras

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Label-Efficient and Robust Learning from Multiple Experts.

Bojan Kolosnjaji, Apostolis Zarras

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Do Bayesian variational autoencoders know what they don't know?

Misha Glazunov, Apostolis Zarras

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Upside Down: Exploring the Ecosystem of Dark Web Data Markets.

Bogdan Covrig, Enrique Barrueco Mikelarena, Constanta Rosca, Catalina Goanta, Gerasimos Spanakis, Apostolis Zarras

Proceedings of the ICT Systems Security and Privacy Protection, 2022

2021

hybrid-Flacon: Hybrid Pattern Malware Detection and Categorization with Network Traffic andProgram Code.

Peng Xu, Claudia Eckert, Apostolis Zarras

CoRR, 2021

Detecting and categorizing Android malware with graph neural networks.

Peng Xu, Claudia Eckert, Apostolis Zarras

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Hybroid: Toward Android Malware Detection and Categorization with Program Code and Network Traffic.

Mohammad Reza Norouzian, Peng Xu, Claudia Eckert, Apostolis Zarras

Proceedings of the Information Security - 24th International Conference, 2021

HawkEye: Cross-Platform Malware Detection with Representation Learning on Graphs.

Peng Xu, Youyi Zhang, Claudia Eckert, Apostolis Zarras

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Falcon: Malware Detection and Categorization with Network Traffic Images.

Peng Xu, Claudia Eckert, Apostolis Zarras

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

The Strategy Configuration Problem and How to Solve It.

Apostolos Zarras

Proceedings of the EuroPLoP'21: European Conference on Pattern Languages of Programs 2021, Graz, Austria, July 7, 2021

2020

MANIS: evading malware detection system on graph structure.

Peng Xu, Bojan Kolosnjaji, Claudia Eckert, Apostolis Zarras

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019

Can Today's Machine Learning Pass Image-Based Turing Tests?

Apostolis Zarras, Ilias Gerostathopoulos, Daniel Méndez Fernández

Proceedings of the Information Security - 22nd International Conference, 2019

2018

Follow the WhiteRabbit: Towards Consolidation of On-the-Fly Virtualization and Virtual Machine Introspection.

Sergej Proskurin, Julian Kirsch, Apostolis Zarras

Proceedings of the ICT Systems Security and Privacy Protection, 2018

Smashing the Stack Protector for Fun and Profit.

Bruno Bierbaumer, Julian Kirsch, Thomas Kittel, Aurélien Francillon, Apostolis Zarras

Proceedings of the ICT Systems Security and Privacy Protection, 2018

Learning on a Budget for User Authentication on Mobile Devices.

Bojan Kolosnjaji, Antonia Hufner, Claudia Eckert, Apostolis Zarras

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Hiding in the Shadows: Empowering ARM for Stealthy Virtual Machine Introspection.

Sergej Proskurin, Tamas K. Lengyel, Marius Momeu, Claudia Eckert, Apostolis Zarras

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2017

Combating Control Flow Linearization.

Julian Kirsch, Clemens Jonischkeit, Thomas Kittel, Apostolis Zarras, Claudia Eckert

Proceedings of the ICT Systems Security and Privacy Protection, 2017

Towards Automated Classification of Firmware Images and Identification of Embedded Devices.

Andrei Costin, Apostolis Zarras, Aurélien Francillon

Proceedings of the ICT Systems Security and Privacy Protection, 2017

Hiding Behind the Shoulders of Giants: Abusing Crawlers for Indirect Web Attacks.

Apostolis Zarras, Federico Maggi

Proceedings of the 15th Annual Conference on Privacy, Security and Trust, 2017

Empowering convolutional networks for malware classification and analysis.

Bojan Kolosnjaji, Ghadir Eraisha, George D. Webster, Apostolis Zarras, Claudia Eckert

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage.

George D. Webster, Bojan Kolosnjaji, Christian von Pentz, Julian Kirsch, Zachary D. Hanif, Apostolis Zarras, Claudia Eckert

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2017

2016

Towards detection and prevention of malicious activities against web applications and internet services.

Apostolos Zarras

PhD thesis, 2016

Leveraging Internet Services to Evade Censorship.

Apostolis Zarras

Proceedings of the Information Security - 19th International Conference, 2016

SKALD: A Scalable Architecture for Feature Extraction, Multi-user Analysis, and Real-Time Information Sharing.

George D. Webster, Zachary D. Hanif, Andre L. P. Ludwig, Tamas K. Lengyel, Apostolis Zarras, Claudia Eckert

Proceedings of the Information Security - 19th International Conference, 2016

Adaptive Semantics-Aware Malware Classification.

Bojan Kolosnjaji, Apostolis Zarras, Tamas K. Lengyel, George D. Webster, Claudia Eckert

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2016

Neuralyzer: Flexible Expiration Times for the Revocation of Online Data.

Apostolis Zarras, Katharina Kohls, Markus Dürmuth, Christina Pöpper

Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, 2016

Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces.

Andrei Costin, Apostolis Zarras, Aurélien Francillon

Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016

Deep Learning for Classification of Malware System Call Sequences.

Bojan Kolosnjaji, Apostolis Zarras, George D. Webster, Claudia Eckert

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015

Revealing the relationship network behind link spam.

Apostolis Zarras, Antonis Papadogiannakis, Sotiris Ioannidis, Thorsten Holz

Proceedings of the 13th Annual Conference on Privacy, Security and Trust, 2015

2014

Automated generation of models for fast and precise detection of HTTP-based malware.

Apostolis Zarras, Antonis Papadogiannakis, Robert Gawlik, Thorsten Holz

Proceedings of the 2014 Twelfth Annual International Conference on Privacy, 2014

The Dark Alleys of Madison Avenue: Understanding Malicious Advertisements.

Apostolis Zarras, Alexandros Kapravelos, Gianluca Stringhini, Thorsten Holz, Christopher Kruegel, Giovanni Vigna

Proceedings of the 2014 Internet Measurement Conference, 2014

The art of false alarms in the game of deception: Leveraging fake honeypots for enhanced security.

Apostolis Zarras

Proceedings of the International Carnahan Conference on Security Technology, 2014

2013

k-subscription: privacy-preserving microblogging browsing through obfuscation.

Panagiotis Papadopoulos, Antonis Papadogiannakis, Michalis Polychronakis, Apostolis Zarras, Thorsten Holz, Evangelos P. Markatos

Proceedings of the Annual Computer Security Applications Conference, 2013

2012

B@bel: Leveraging Email Delivery for Spam Mitigation.

Gianluca Stringhini, Manuel Egele, Apostolis Zarras, Thorsten Holz, Christopher Kruegel, Giovanni Vigna

Proceedings of the 21th USENIX Security Symposium, Bellevue, WA, USA, August 8-10, 2012, 2012

2011

Understanding fraudulent activities in online ad exchanges.

Brett Stone-Gross, Ryan Stevens, Apostolis Zarras, Richard A. Kemmerer, Christopher Kruegel, Giovanni Vigna

Proceedings of the 11th ACM SIGCOMM Internet Measurement Conference, 2011