Results 281 to 290 of about 4,207,378 (350)

Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks

2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS), 2023
Deception detection is gaining increasing interest due to ethical and security concerns. This paper explores the application of convolutional neural networks for the purpose of multimodal deception detection.
Panfeng Li   +2 more
semanticscholar   +1 more source

PDDL: Proactive Distributed Detection and Localization Against Stealthy Deception Attacks in DC Microgrids

IEEE Transactions on Smart Grid, 2023
With the rapid development of the information and communication technology in DC microgrids (DCmGs), the threat of deception attacks has been widely recognized.
Mengxiang Liu   +5 more
semanticscholar   +1 more source

Multimodal Deception Detection Using Real-Life Trial Data

IEEE Transactions on Affective Computing, 2022
Hearings of witnesses and defendants play a crucial role when reaching court trial decisions. Given the high-stakes nature of trial outcomes, developing computational models that assist the decision-making process is an important research venue.
Umut Mehmet Sen   +5 more
semanticscholar   +1 more source

Distributed Fault Detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2023
This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks.
Shanglin Li, Yangzhou Chen, P. X. Liu
semanticscholar   +1 more source

Concurrent Cyber Deception Attack Detection of Consensus Control in Isolated AC Microgrids

IEEE transactions on industry applications, 2023
The sparse communication network exposes the AC microgrid (MG) with higher risk under malicious cyber attacks. Intrusion detection of malicious cyber attacks becomes a critical issue in operations of isolated AC MGs. In this work, a general framework for
Lin-Yu Lu   +3 more
semanticscholar   +1 more source

Deception Detection

, 2022
There are a lot of different ways one can classify a document, including whether there is some degree of deception in a text. Of course, why people deceive is a multi-faceted issue ...
Norah E. Dunbar
semanticscholar   +1 more source

Multimodal Political Deception Detection

IEEE Multimedia, 2021
Political statements are carefully crafted to garner public support for a particular ideology. These statements are often biased and sometimes misleading.
Manvi Kamboj   +4 more
semanticscholar   +1 more source

A systematic review and meta-analysis of the Test of Memory Malingering in adults: Two decades of deception detection

Clinical Neuropsychologist, 2020
Objective: The present study, adhering to Preferred Reporting Items for Systematic review and Meta-Analyses (PRISMA) guidelines, is the first systematic review and meta-analysis of the Test of Memory Malingering (TOMM) to examine traditional and ...
Phillip K Martin   +6 more
semanticscholar   +1 more source

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