Results 271 to 280 of about 103,780 (344)
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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, En-Gang 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, En-Gang Tian, Xia Zhao
semanticscholar +1 more source
LieNet: A Deep Convolution Neural Network Framework for Detecting Deception
IEEE Transactions on Cognitive and Developmental Systems, 2022Nowadays, automatic deception detection has received considerable attention in the machine learning community owing to this research interest to its vast applications in the fields of social media, interviews, law enforcement, and the military.
Mohan Karnati +3 more
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The Journal of Abnormal and Social Psychology, 1928
Deception may be of two sorts, the attempted deceiving of another person, or the attempted deceiving of oneself. Both seem to be possible of achievement and each is distinguished by its own circumstances and its own difficulties. The present communication concerns itself in the main with deception of self.
Herman M. Adler, John A. Larson
openaire +1 more source
Deception may be of two sorts, the attempted deceiving of another person, or the attempted deceiving of oneself. Both seem to be possible of achievement and each is distinguished by its own circumstances and its own difficulties. The present communication concerns itself in the main with deception of self.
Herman M. Adler, John A. Larson
openaire +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.
Mehmet Umut Sen +5 more
semanticscholar +1 more source
Information Sciences, 2021
This paper addresses the problem of resilient adaptive dynamic surface control against uncertain sensor and actuator deception attacks for a class of switched nonlinear cyber-physical systems.
Zhan-Jie Li, Jun Zhao
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This paper addresses the problem of resilient adaptive dynamic surface control against uncertain sensor and actuator deception attacks for a class of switched nonlinear cyber-physical systems.
Zhan-Jie Li, Jun Zhao
semanticscholar +1 more source
Detecting Strategic Deception Using Linear Probes
arXiv.orgAI models might use deceptive strategies as part of scheming or misaligned behaviour. Monitoring outputs alone is insufficient, since the AI might produce seemingly benign outputs while their internal reasoning is misaligned.
Nicholas Goldowsky-Dill +3 more
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IEEE Transactions on Neural Networks and Learning Systems, 2021
This article investigates the problem of event-triggered secure path tracking control of autonomous ground vehicles (AGVs) under deception attacks.
Z. Gu, Tingting Yin, Z. Ding
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This article investigates the problem of event-triggered secure path tracking control of autonomous ground vehicles (AGVs) under deception attacks.
Z. Gu, Tingting Yin, Z. Ding
semanticscholar +1 more source
Active Deception Jamming Recognition in the Presence of Extended Target
IEEE Geoscience and Remote Sensing Letters, 2022Accurate sensing of the mainlobe active deception jamming is critical for radar antijamming and extended target detection in a complex electromagnetic environment.
Yu-Kai Kong +4 more
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Deception and self‐deception in health care
Nursing Philosophy, 2016AbstractDeception is part of the natural repertoire of adaptive behaviours in many organisms. In humans we see it in all domains of human activity including health care. Within health care, deception can be a matter of concern, but it is also used to protect patients, for instance against overwhelming and negative diagnostics.
Jan M. A. de Vries, Fiona Timmins
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IEEE Transactions on Automation Science and Engineering
This paper focuses on the membership-functions-dependent reachable set (RS) synthesis of a class of Takagi-Sugeno (T-S) fuzzy singular multi-agent systems subject to deception attacks.
Liang Zhang +3 more
semanticscholar +1 more source
This paper focuses on the membership-functions-dependent reachable set (RS) synthesis of a class of Takagi-Sugeno (T-S) fuzzy singular multi-agent systems subject to deception attacks.
Liang Zhang +3 more
semanticscholar +1 more source