| Deep Learning for Classification of Malware System Call Sequences B Kolosnjaji, A Zarras, G Webster, C Eckert Australasian Joint Conference on Artificial Intelligence (AI), 137-149, 2016 | 638 | 2016 |
| Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces A Costin, A Zarras, A Francillon ACM Asia Conference on Computer and Communications Security (ASIACCS), 437-448, 2016 | 274 | 2016 |
| The Dark Alleys of Madison Avenue: Understanding Malicious Advertisements A Zarras, A Kapravelos, G Stringhini, T Holz, C Kruegel, G Vigna ACM Internet Measurement Conference (IMC), 373-380, 2014 | 184 | 2014 |
| Understanding Fraudulent Activities in Online Ad Exchanges B Stone-Gross, R Stevens, A Zarras, R Kemmerer, C Kruegel, G Vigna ACM Internet Measurement Conference (IMC), 279-294, 2011 | 170 | 2011 |
| Empowering Convolutional Networks for Malware Classification and Analysis B Kolosnjaji, G Eraisha, G Webster, A Zarras, C Eckert International Joint Conference on Neural Networks (IJCNN), 3838-3845, 2017 | 117 | 2017 |
| B@bel: Leveraging Email Delivery for Spam Mitigation G Stringhini, M Egele, A Zarras, T Holz, C Kruegel, G Vigna USENIX Security Symposium, 16-32, 2012 | 54 | 2012 |
| Automated Generation of Models for Fast and Precise Detection of HTTP-Based Malware A Zarras, A Papadogiannakis, R Gawlik, T Holz Annual Conference on Privacy, Security and Trust (PST), 249-256, 2014 | 52 | 2014 |
| Adaptive Semantics-Aware Malware Classification B Kolosnjaji, A Zarras, T Lengyel, G Webster, C Eckert International Conference on Detection of Intrusions and Malware …, 2016 | 41 | 2016 |
| Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage GD Webster, B Kolosnjaji, C von Pentz, J Kirsch, ZD Hanif, A Zarras, ... International Conference on Detection of Intrusions and Malware …, 2017 | 34 | 2017 |
| Towards Automated Classification of Firmware Images and Identification of Embedded Devices A Costin, A Zarras, A Francillon International Conference on ICT Systems Security and Privacy Protection …, 2017 | 34 | 2017 |
| Detecting and Categorizing Android Malware with Graph Neural Networks P Xu, C Eckert, A Zarras ACM Symposium On Applied Computing (SAC), 409-412, 2021 | 32 | 2021 |
| Neuralyzer: Flexible Expiration Times for the Revocation of Online Data A Zarras, K Kohls, M Dürmuth, C Pöpper 🏆 ACM Conference on Data and Application Security and Privacy (CODASPY), 14-25, 2016 | 30 | 2016 |
| k-subscription: Privacy-Preserving Microblogging Browsing Through Obfuscation P Papadopoulos, A Papadogiannakis, M Polychronakis, A Zarras, T Holz, ... Annual Computer Security Applications Conference (ACSAC), 49-58, 2013 | 29 | 2013 |
| Hiding in the Shadows: Empowering ARM for Stealthy Virtual Machine Introspection S Proskurin, T Lengyel, M Momeu, C Eckert, A Zarras 🏆 Annual Computer Security Applications Conference (ACSAC), 407-417, 2018 | 24 | 2018 |
| SKALD: A Scalable Architecture for Feature Extraction, Multi-user Analysis, and Real-Time Information Sharing GD Webster, ZD Hanif, ALP Ludwig, TK Lengyel, A Zarras, C Eckert Information Security Conference (ISC), 231-249, 2016 | 19 | 2016 |
| MANIS: Evading Malware Detection System on Graph Structure P Xu, B Kolosnjaji, C Eckert, A Zarras ACM Symposium On Applied Computing (SAC), 1688-1695, 2020 | 16 | 2020 |
| Hybroid: Toward Android Malware Detection and Categorization with Program Code and Network Traffic MR Norouzian, P Xu, C Eckert, A Zarras Information Security Conference (ISC), 259-278, 2021 | 15 | 2021 |
| Falcon: Malware Detection and Categorization with Network Traffic Images P Xu, C Eckert, A Zarras International Conference on Artificial Neural Networks (ICANN), 117-128, 2021 | 15 | 2021 |
| Smashing the Stack Protector for Fun and Profit B Bierbaumer, J Kirsch, T Kittel, A Francillon, A Zarras International Conference on ICT Systems Security and Privacy Protection …, 2018 | 15 | 2018 |
| HawkEye: Cross-Platform Malware Detection with Representation Learning on Graphs P Xu, Y Zhang, C Eckert, A Zarras International Conference on Artificial Neural Networks (ICANN), 127-138, 2021 | 14 | 2021 |
Bojan KolosnjajiResearcher, PhD Student, Technical University of Munich在 sec.in.tum.de 的电子邮件经过验证
