This work introduces a new approach to detect fake fingers, based on the analysis of time-series fingerprint images. When a user puts a finger on the scanner surface, a time-series sequence of fingerprint images is captured. Five features are extracted from the image sequence. Two features represent the skin elasticity, and three features represent the physiological process of perspiration. Fin...

The interpretation of adjective-noun pairs plays a crucial role in tasks such as recognizing textual entailment. Formal semantics often places adjectives into a taxonomy which should dictate adjectives’ entailment behavior when placed in adjective-noun compounds. However, we show experimentally that the behavior of subsective adjectives (e.g. red) versus non-subsective adjectives (e.g. fake) is...

Fake news has become a hotly debated topic in journalism. In this paper, we present our entry to the 2017 Fake News Challenge which models the detection of fake news as a stance classification task that finished in 11th place on the leader board. Our entry is an ensemble system of classifiers developed by students in the context of their coursework. We show how we used the stacking ensemble met...

An important security challenge in database outsourcing scenarios is the correctness verification of query results. The proposed approaches in the literature, impose high overhead on both the service provider and specially the clients. In this paper, we propose the Trust-Based Fake Tuples approach to audit the correctness of query results. In this approach, some fake tuples are included among t...

We propose the first multistage intervention framework that tackles fake news in social networks by combining reinforcement learning with a point process network activity model. The spread of fake news and mitigation events within the network is modeled by a multivariate Hawkes process with additional exogenous control terms. By choosing a feature representation of states, defining mitigation a...

Humanity is battling one of the most deleterious virus in modern history, COVID-19 pandemic, but along with pandemic there’s an infodemic permeating pupil and society misinformation which exacerbates current malady. We try to detect classify fake news on online media information relating coronavirus. The dataset contained posts, articles gathered from fact checking websites like politifact wher...

Este artigo se dedica a analisar notícias falsas sobre Covid-19 partir de uma abordagem as infraestruturas da desinformação. Dessa forma, estudamos websites clones que copiam o YouTube para replataformizar ambiente informacional e espalhar vídeos com títulos falsos sensacionalistas, dificultando aplicação políticas moderação conteúdo. A pesquisa empírica trata 16 hospedagem 11.384 publicações l...

This research presents a novel 2D feature space where real faces and masked fake faces can be effectively discriminated. We exploit the reflectance disparity based on albedo between real faces and fake materials. The feature vector used consists of radiance measurements of the forehead region under 850 and 685 nm illuminations. Facial skin and mask material show linearly separable distributions...

this study aims to examine the content of isps' websites in two countries, iran and malaysia. the sample contained 31 iranian and 19 malaysian websites. each website was content analyzed for use of various interactivity functions in three dimensions of consumer – message, consumer – marketer and consumer – consumer interactivity. our findings indicate that iranian websites tend to emphasiz...