Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Rahwan, Talal"'
Advanced Persistent Threats (APTs) are sophisticated, targeted cyberattacks designed to gain unauthorized access to systems and remain undetected for extended periods. To evade detection, APT cyberattacks deceive defense layers with breaches and expl
Externí odkaz:
http://arxiv.org/abs/2406.19220
Large language models (LLMs) demonstrate impressive zero-shot and few-shot reasoning capabilities. Some propose that such capabilities can be improved through self-reflection, i.e., letting LLMs reflect on their own output to identify and correct mis
Externí odkaz:
http://arxiv.org/abs/2406.10400
Images are often termed as representations of perceived reality. As such, racial and gender biases in popular media imagery could play a vital role in shaping people's perceptions of society. While inquiries into such biases have examined the frequen
Externí odkaz:
http://arxiv.org/abs/2405.06404
A quarter of US adults regularly get their news from YouTube. Yet, despite the massive political content available on the platform, to date no classifier has been proposed to identify the political leaning of YouTube videos. To fill this gap, we prop
Externí odkaz:
http://arxiv.org/abs/2404.04261
Citations are widely considered in scientists' evaluation. As such, scientists may be incentivized to inflate their citation counts. While previous literature has examined self-citations and citation cartels, it remains unclear whether scientists can
Externí odkaz:
http://arxiv.org/abs/2402.04607
Text-to-image generative AI models such as Stable Diffusion are used daily by millions worldwide. However, the extent to which these models exhibit racial and gender stereotypes is not yet fully understood. Here, we document significant biases in Sta
Externí odkaz:
http://arxiv.org/abs/2402.01002
Autor:
Waniek, Marcin, Rahwan, Talal
Group centrality measures are a generalization of standard centrality, designed to quantify the importance of not just a single node (as is the case with standard measures) but rather that of a group of nodes. Some nodes may have an incentive to evad
Externí odkaz:
http://arxiv.org/abs/2312.09791
Autor:
Lai, Yuni, Waniek, Marcin, Li, Liying, Wu, Jingwen, Zhu, Yulin, Michalak, Tomasz P., Rahwan, Talal, Zhou, Kai
Random Walks-based Anomaly Detection (RWAD) is commonly used to identify anomalous patterns in various applications. An intriguing characteristic of RWAD is that the input graph can either be pre-existing or constructed from raw features. Consequentl
Externí odkaz:
http://arxiv.org/abs/2307.14387
Editors are crucial to the integrity of the scientific publishing process, yet they themselves could face conflicts of interest (COIs), whereby their personal interests interfere with their editorial duties. One such COI stems from the fact that, apa
Externí odkaz:
http://arxiv.org/abs/2307.00794
As the use of Large Language Models (LLMs) in text generation tasks proliferates, concerns arise over their potential to compromise academic integrity. The education sector currently tussles with distinguishing student-authored homework assignments f
Externí odkaz:
http://arxiv.org/abs/2305.18226