Detection of malicious social bots: A survey and a refined taxonomy

M Latah - Expert Systems with Applications, 2020 - Elsevier
Social bots represent a new generation of bots that make use of online social networks
(OSNs) as command and control (C&C) channels. Malicious social bots have been used as …

An experimental investigation of text-based captcha attacks and their robustness

P Wang, H Gao, X Guo, C Xiao, F Qi, Z Yan - ACM Computing Surveys, 2023 - dl.acm.org
Text-based CAPTCHA has become one of the most popular methods for preventing bot
attacks. With the rapid development of deep learning techniques, many new methods to …

Design choices for central bank digital currency: Policy and technical considerations

S Allen, S Čapkun, I Eyal, G Fanti, BA Ford… - 2020 - nber.org
Central banks around the world are exploring and in some cases even piloting Central Bank
Digital Currencies (CBDCs). CBDCs promise to realize a broad range of new capabilities …

" Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences

D Olszewski, A Lu, C Stillman, K Warren… - Proceedings of the …, 2023 - dl.acm.org
Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Detecting fake accounts in online social networks at the time of registrations

D Yuan, Y Miao, NZ Gong, Z Yang, Q Li… - Proceedings of the …, 2019 - dl.acm.org
Online social networks are plagued by fake information. In particu-lar, using massive fake
accounts (also called Sybils), an attacker can disrupt the security and privacy of benign …

TF-YOLO: An improved incremental network for real-time object detection

W He, Z Huang, Z Wei, C Li, B Guo - Applied Sciences, 2019 - mdpi.com
In recent years, significant advances have been gained in visual detection, and an
abundance of outstanding models have been proposed. However, state-of-the-art object …

Throwing darts in the dark? detecting bots with limited data using neural data augmentation

STK Jan, Q Hao, T Hu, J Pu, S Oswal… - … IEEE symposium on …, 2020 - ieeexplore.ieee.org
Machine learning has been widely applied to building security applications. However, many
machine learning models require the continuous supply of representative labeled data for …

Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment

Z Noury, M Rezaei - arXiv preprint arXiv:2006.08296, 2020 - arxiv.org
CAPTCHA is a human-centred test to distinguish a human operator from bots, attacking
programs, or other computerised agents that tries to imitate human intelligence. In this …

Attention please: Your attention check questions in survey studies can be automatically answered

W Pei, A Mayer, K Tu, C Yue - Proceedings of The Web Conference …, 2020 - dl.acm.org
Attention check questions have become commonly used in online surveys published on
popular crowdsourcing platforms as a key mechanism to filter out inattentive respondents …

You never fake alone. Creative AI in action

K De Vries - Information, Communication & Society, 2020 - Taylor & Francis
Creative AI (notably GANs and VAEs) can generate convincing fakes of video footage,
pictures, graphics, etc. In order to conceptualize the societal role of creative AI a new …