Results 291 to 300 of about 71,438 (359)
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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
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
Secure Consensus of Multiagent Systems via Impulsive Control Subject to Deception Attacks
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2023This brief studies the secure consensus problem of multiagent systems (MASs) via impulsive control under deception attacks. In most existing work, deception attackers are assumed to attack the agents rather than the communication channels, and the ...
Zhiwei Liu +4 more
semanticscholar +1 more source
Honesty Is the Best Policy: Defining and Mitigating AI Deception
Neural Information Processing Systems, 2023Deceptive agents are a challenge for the safety, trustworthiness, and cooperation of AI systems. We focus on the problem that agents might deceive in order to achieve their goals (for instance, in our experiments with language models, the goal of being ...
Francis Rhys Ward +3 more
semanticscholar +1 more source
A Novel Bipartite Consensus Tracking Control for Multiagent Systems Under Sensor Deception Attacks
IEEE Transactions on Cybernetics, 2022This article presents a novel adaptive bipartite consensus tracking strategy for multiagent systems (MASs) under sensor deception attacks. The fundamental design philosophy is to develop a hierarchical algorithm based on shortest route technology that ...
Xinjun Wang +3 more
semanticscholar +1 more source
Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022In this article, the adaptive control for a class of strict-feedback nonlinear systems with uncertainties under injection and deception attacks is considered.
Yue Yang +4 more
semanticscholar +1 more source
Converter-Based Moving Target Defense Against Deception Attacks in DC Microgrids
IEEE Transactions on Smart Grid, 2022With the rapid development of information and communications technology in DC microgrids (DCmGs), the deception attacks, which typically include false data injection and replay attacks, have been widely recognized as a significant threat.
Mengxiang Liu +5 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2022
In this article, the chance-constrained $H_{\infty }$ state estimation problem is investigated for a class of time-varying neural networks subject to measurements degradation and randomly occurring deception attacks.
Fanrong Qu, E. Tian, Xia Zhao
semanticscholar +1 more source
In this article, the chance-constrained $H_{\infty }$ state estimation problem is investigated for a class of time-varying neural networks subject to measurements degradation and randomly occurring deception attacks.
Fanrong Qu, E. Tian, Xia Zhao
semanticscholar +1 more source
Multimodal Deception Detection Using Real-Life Trial Data
IEEE Transactions on Affective Computing, 2022Hearings 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