AIMC Topic: Deception

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Multimodal machine learning for deception detection using behavioral and physiological data.

Scientific reports Mar 15, 2025
Deception detection is crucial in domains like national security, privacy, judiciary, and courtroom trials. Differentiating truth from lies is inherently challenging due to many complex, diversified behavioural, physiological and cognitive aspects. T...
Female Adult Male Humans Machine Learning Electrooculography Galvanic Skin Response Lie Detection India Deception Electroencephalography Electrocardiography
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Multi-domain Urdu fake news detection using pre-trained ensemble model.

Scientific reports Mar 13, 2025
Fake News (FN) dissemination on websites and online platforms influences human behaviours, socio-political domains, and the sovereignty of a country. The outpour of biased news and propaganda on online portals can be addressed by restricting online p...
Machine Learning Natural Language Processing Language Humans Internet Deep Learning Deception
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High performance fake review detection using pretrained DeBERTa optimized with Monarch Butterfly paradigm.

Scientific reports Mar 3, 2025
In this era of internet, e-commerce has grown tremendously and the customers are increasingly relying on reviews for product information. As these reviews influence the purchasing ability of the future customer, it can give a positive or negative imp...
Humans Deception Internet Commerce Machine Learning Neural Networks, Computer Algorithms
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Experimental economics for machine learning-a methodological contribution on lie detection.

PloS one Dec 31, 2024
In this paper, we investigate how technology has contributed to experimental economics in the past and illustrate how experimental economics can contribute to technological progress in the future. We argue that with machine learning (ML), a new techn...
Lie Detection Economics Deception Humans Algorithms Female Machine Learning Male
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H control for fractional order neural networks with uncertainties subject to deception attacks via Improved memory-event-triggered scheme and Its application.

Neural networks : the official journal of the International Neural Network Society Dec 28, 2024
The article discusses an improved memory-event-triggered strategy for H control class of fractional-order neural networks (FONNs) with uncertainties, which are vulnerable to deception attacks. The system under consideration is simultaneously influenc...
Uncertainty Computer Security Memory Humans Algorithms Deception Neural Networks, Computer
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Novel approach for predicting fake news stance detection using large word embedding blending and customized CNN model.

PloS one Dec 13, 2024
The proliferation of fake news is one of the major problems that causes personal and societal harm. In today's fast-paced digital age, misinformation spreads rapidly, often leaving individuals without the time to verify the authenticity of the inform...
Social Media Algorithms Humans Deception Neural Networks, Computer
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Diagnosis of Pain Deception Using Minnesota Multiphasic Personality Inventory-2 Based on XGBoost Machine Learning Algorithm: A Single-Blinded Randomized Controlled Trial.

Medicina (Kaunas, Lithuania) Dec 2, 2024
: Assessing pain deception is challenging due to its subjective nature. The main goal of this study was to evaluate the diagnostic value of pain deception using machine learning (ML) analysis with the Minnesota Multiphasic Personality Inventory-2 (MM...
Single-Blind Method Pain MMPI Deception Pain Measurement Algorithms Female Male Middle Aged Adult Humans Machine Learning
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Towards generalizable face forgery detection via mitigating spurious correlation.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
The continuous advancement of face forgery techniques has caused a series of trust crises, posing a significant menace to information security and personal privacy. In response, deep learning is being employed to develop effective detection methods t...
Humans Neural Networks, Computer Face Automated Facial Recognition Deep Learning Algorithms Image Processing, Computer-Assisted Trust Deception
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Can robots lie? A posthumanist approach to robotic animals and deceptive practices in dementia care.

Journal of aging studies Sep 24, 2024
Robotic animals are designed to resemble real, living animals, but at the same time, dementia care guidelines and policies often emphasize the value of transparency in relation to robots-people should not be led to believe that robots have capacities...
Deception Robotics Nursing Homes Animals Male Dementia Female Sweden Humans
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Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber-physical systems under deception attacks.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
In this paper, the design of an adaptive neural event-triggered control scheme for a class of switched nonlinear systems affected by external disturbances and deception attacks is presented. In order to address the effects caused by unknown disturban...
Neural Networks, Computer Nonlinear Dynamics Computer Security Algorithms Computer Simulation Deception
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