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Apostolis Zarras
Apostolis Zarras
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Title
Cited by
Cited by
Year
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
6282016
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
2692016
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
1812014
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
1672011
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
1142017
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
522014
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
522012
Adaptive Semantics-Aware Malware Classification
B Kolosnjaji, A Zarras, T Lengyel, G Webster, C Eckert
International Conference on Detection of Intrusions and Malware …, 2016
402016
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
332017
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
332017
Detecting and Categorizing Android Malware with Graph Neural Networks
P Xu, C Eckert, A Zarras
ACM Symposium On Applied Computing (SAC), 409-412, 2021
322021
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
302016
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
292013
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
222018
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
192016
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
162020
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
142021
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
142021
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
142018
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
122021
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