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 …
(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
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 …
attacks. With the rapid development of deep learning techniques, many new methods to …
Design choices for central bank digital currency: Policy and technical considerations
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 …
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 …
seemingly contradictory results and expands the boundaries of known discoveries …
Detecting fake accounts in online social networks at the time of registrations
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 …
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 …
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
Machine learning has been widely applied to building security applications. However, many
machine learning models require the continuous supply of representative labeled data for …
machine learning models require the continuous supply of representative labeled data for …
Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment
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 …
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
Attention check questions have become commonly used in online surveys published on
popular crowdsourcing platforms as a key mechanism to filter out inattentive respondents …
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 …
pictures, graphics, etc. In order to conceptualize the societal role of creative AI a new …