Understanding fraudulent activities in online ad exchanges. - Brett Stone-Gross; Ryan Stevens; Apostolis Zarras; Richard A. Kemmerer; Christopher Kruegel; Giovanni Vigna (Internet Measurement Conference, 2011)

B@bel: Leveraging Email Delivery for Spam Mitigation. - Gianluca Stringhini; Manuel Egele; Apostolis Zarras; Thorsten Holz; Christopher Kruegel; Giovanni Vigna (USENIX Security Symposium, 2012)

k-subscription: privacy-preserving microblogging browsing through obfuscation. - Panagiotis Papadopoulos; Antonis Papadogiannakis; Michalis Polychronakis; Apostolis Zarras; Thorsten Holz; Evangelos P. Markatos (ACSAC, 2013)

The art of false alarms in the game of deception: Leveraging fake honeypots for enhanced security. - Apostolis Zarras (ICCST, 2014)

The Dark Alleys of Madison Avenue: Understanding Malicious Advertisements. - Apostolis Zarras; Alexandros Kapravelos; Gianluca Stringhini; Thorsten Holz; Christopher Kruegel; Giovanni Vigna (Internet Measurement Conference, 2014)

Automated generation of models for fast and precise detection of HTTP-based malware. - Apostolis Zarras; Antonis Papadogiannakis; Robert Gawlik; Thorsten Holz (PST, 2014)

Revealing the relationship network behind link spam. - Apostolis Zarras; Antonis Papadogiannakis; Sotiris Ioannidis; Thorsten Holz (PST, 2015)

Deep Learning for Classification of Malware System Call Sequences. - Bojan Kolosnjaji; Apostolis Zarras; George D. Webster; Claudia Eckert 001 (Australasian Conference on Artificial Intelligence, 2016)

Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces. - Andrei Costin; Apostolis Zarras; Aurélien Francillon (AsiaCCS, 2016)

Neuralyzer: Flexible Expiration Times for the Revocation of Online Data. - Apostolis Zarras; Katharina Kohls; Markus Dürmuth; Christina Pöpper (CODASPY, 2016)

Adaptive Semantics-Aware Malware Classification. - Bojan Kolosnjaji; Apostolis Zarras; Tamas K. Lengyel; George D. Webster; Claudia Eckert 001 (DIMVA, 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 001 (ISC, 2016)

Leveraging Internet Services to Evade Censorship. - Apostolis Zarras (ISC, 2016)

Towards detection and prevention of malicious activities against web applications and internet services. - Apostolos Zarras (2016)

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 001 (DIMVA, 2017)

Empowering convolutional networks for malware classification and analysis. - Bojan Kolosnjaji; Ghadir Eraisha; George D. Webster; Apostolis Zarras; Claudia Eckert 001 (IJCNN, 2017)

Hiding Behind the Shoulders of Giants: Abusing Crawlers for Indirect Web Attacks. - Apostolis Zarras; Federico Maggi 001 (PST, 2017)

Towards Automated Classification of Firmware Images and Identification of Embedded Devices. - Andrei Costin; Apostolis Zarras; Aurélien Francillon (SEC, 2017)

Combating Control Flow Linearization. - Julian Kirsch; Clemens Jonischkeit; Thomas Kittel 001; Apostolis Zarras; Claudia Eckert 001 (SEC, 2017)

Hiding in the Shadows: Empowering ARM for Stealthy Virtual Machine Introspection. - Sergej Proskurin; Tamas K. Lengyel; Marius Momeu; Claudia Eckert 001; Apostolis Zarras (ACSAC, 2018)

Learning on a Budget for User Authentication on Mobile Devices. - Bojan Kolosnjaji; Antonia Hufner; Claudia Eckert 001; Apostolis Zarras (ICASSP, 2018)

Smashing the Stack Protector for Fun and Profit. - Bruno Bierbaumer; Julian Kirsch; Thomas Kittel 001; Aurélien Francillon; Apostolis Zarras (SEC, 2018)

Follow the WhiteRabbit: Towards Consolidation of On-the-Fly Virtualization and Virtual Machine Introspection. - Sergej Proskurin; Julian Kirsch; Apostolis Zarras (SEC, 2018)

Can Today's Machine Learning Pass Image-Based Turing Tests? - Apostolis Zarras; Ilias Gerostathopoulos; Daniel Méndez Fernández (ISC, 2019)

MANIS: evading malware detection system on graph structure. - Peng Xu; Bojan Kolosnjaji; Claudia Eckert 001; Apostolis Zarras (SAC, 2020)

The Strategy Configuration Problem and How to Solve It. - Apostolos Zarras (EuroPLoP, 2021)

Falcon: Malware Detection and Categorization with Network Traffic Images. - Peng Xu; Claudia Eckert 001; Apostolis Zarras (ICANN (1), 2021)

HawkEye: Cross-Platform Malware Detection with Representation Learning on Graphs. - Peng Xu; Youyi Zhang; Claudia Eckert 001; Apostolis Zarras (ICANN (3), 2021)

Hybroid: Toward Android Malware Detection and Categorization with Program Code and Network Traffic. - Mohammad Reza Norouzian; Peng Xu; Claudia Eckert 001; Apostolis Zarras (ISC, 2021)

Detecting and categorizing Android malware with graph neural networks. - Peng Xu; Claudia Eckert 001; Apostolis Zarras (SAC, 2021)

hybrid-Flacon: Hybrid Pattern Malware Detection and Categorization with Network Traffic andProgram Code. - Peng Xu; Claudia Eckert 001; Apostolis Zarras (CoRR, 2021)

Upside Down: Exploring the Ecosystem of Dark Web Data Markets. - Bogdan Covrig; Enrique Barrueco Mikelarena; Constanta Rosca; Catalina Goanta; Gerasimos Spanakis; Apostolis Zarras (SEC, 2022)

Do Bayesian variational autoencoders know what they don't know? - Misha Glazunov; Apostolis Zarras (UAI, 2022)

Label-Efficient and Robust Learning from Multiple Experts. - Bojan Kolosnjaji; Apostolis Zarras (ICASSP, 2023)

Digital Forgetting Using Key Decay. - Marwan Adnan Darwish; Apostolis Zarras (SAC, 2023)

Free Willy: Prune System Calls to Enhance Software Security. - Charlie Groh; Sergej Proskurin; Apostolis Zarras (SAC, 2023)

Vacant holes for unsupervised detection of the outliers in compact latent representation. - Misha Glazunov; Apostolis Zarras (UAI, 2023)

White paper on cybersecurity in the healthcare sector. The HEIR solution. - Konstantinos Lampropoulos 001; Apostolis Zarras; Eftychia Lakka; Polyanthi Barmpaki; Kostas Drakonakis; Manos Athanatos; Hervé Debar; Andreas Alexopoulos; Aristeidis Sotiropoulos; George Tsakirakis; Nikos Dimakopoulos; Dimitris Tsolovos; et al. (CoRR, 2023)

Defense strategies for Adversarial Machine Learning: A survey. - Panagiotis Bountakas; Apostolis Zarras; Alexios Lekidis; Christos Xenakis (Comput. Sci. Rev., 2023)

iVault: Architectural Code Concealing Techniques to Protect Cryptographic Keys. - George Christou; Giorgos Vasiliadis; Apostolis Zarras; Sotiris Ioannidis (SAMOS, 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., 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., 2024)

Game on: a performance comparison of interpolation techniques applied to Shamir's secret sharing. - Anastassis Voudouris; Aristomenis Tressos; Apostolis Zarras; Christos Xenakis (Comput. J., 2025)

CRASHED: Cyber risk assessment for smart home electronic devices. - Georgios Paparis; Apostolis Zarras; Aristeidis Farao; Christos Xenakis (J. Inf. Secur. Appl., 2025)