Evasion-robust classification on binary domains

B Li, Y Vorobeychik - ACM Transactions on Knowledge Discovery from …, 2018 - dl.acm.org
The success of classification learning has led to numerous attempts to apply it in adversarial
settings such as spam and malware detection. The core challenge in this class of …

A game-theoretic analysis of preventing spam over Internet Telephony via audio CAPTCHA-based authentication

Y Soupionis, RA Koutsiamanis… - Journal of …, 2014 - content.iospress.com
Abstract Spam over Internet Telephony (SPIT) is a potential source of disruption in Voice
over IP (VoIP) systems. The use of anti-SPIT mechanisms, such as filters and audio …

[PDF][PDF] A game theoretic model and empirical analysis of spammer strategies

M Parameswaran, H Rui, S Sayin - Collaboration, electronic messaging …, 2010 - Citeseer
Network security problems are deteriorating worldwide, and can potentially undermine the
growth of the digital economy and imperil the multitude of innovations that have been a …

[PDF][PDF] Adversarial Machine Learning for Enhanced Malware Detection

M Shahpasand - 2022 - figshare.mq.edu.au
Malware is executable code designed to inflict damage or abuse when run on a device. To
improve the ability of target systems to recognise malware and protect the system, a wide …

[PDF][PDF] Evasion-Robust Classification on Binary Domains

Y Vorobeychik - vorobeychik.com
The success of classification learning has led to numerous attempts to apply it in adversarial
settings such as spam and malware detection. The core challenge in this class of …

[PDF][PDF] Distributed management of competitive access to common resources using algorithmic game theory

RA Koutsiamanis - 2016 - researchgate.net
The Internet is today an inextricable part of daily personal, educational and business activity,
turning any problems in its operation or availability into a significant interruption of these …