Results 101 to 110 of about 6,497 (247)

Generative AI—the Transgression of Technology

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley   +1 more source

Adversarial Attacks on Stochastic Bandits

CoRR, 2018
We study adversarial attacks that manipulate the reward signals to control the actions chosen by a stochastic multi-armed bandit algorithm. We propose the first attack against two popular bandit algorithms: $ε$-greedy and UCB, \emph{without} knowledge of the mean rewards.
Kwang-Sung Jun, Lihong Li 0001, Yuzhe Ma, Xiaojin Zhu 0001   +3 more
openaire   +4 more sources

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

Research on adversarial attack and defense of photovoltaic power prediction

Dianzi Jishu Yingyong
Deep neural networks have been widely used in photovoltaic power prediction, but they are vulnerable to adversarial attacks. In order to improve the robustness of the prediction model, an adversarial attack algorithm based on fast gradient sign method ...
Zhou Wang
doaj   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source

Adversarial Attacks Against World Models: Hallucination-Driven Policy Failure

Applied Sciences
World models have demonstrated powerful environment modeling capabilities in scenarios such as autonomous driving and robotics, but their adversarial security issues remain underexplored, in particular, adversarial risk analysis of world models.
Junjian Zhang, Hao Tan, Ruonan Li, Aiping Li, Zhaoquan Gu   +4 more
doaj   +1 more source

Rigid Body Adversarial Attacks

2025 International Conference on 3D Vision (3DV)
Due to their performance and simplicity, rigid body simulators are often used in applications where the objects of interest can considered very stiff. However, no material has infinite stiffness, which means there are potentially cases where the non-zero compliance of the seemingly rigid object can cause a significant difference between its ...
Aravind Ramakrishnan, David I. W. Levin, Alec Jacobson   +2 more
openaire   +4 more sources

Learning to Cope with Adversarial Attacks

CoRR, 2019
The security of Deep Reinforcement Learning (Deep RL) algorithms deployed in real life applications are of a primary concern. In particular, the robustness of RL agents in cyber-physical systems against adversarial attacks are especially vital since the cost of a malevolent intrusions can be extremely high. Studies have shown Deep Neural Networks (DNN),
Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary 0001, Soumik Sarkar   +3 more
openaire   +2 more sources

Degradation‐aware energy management for photovoltaic‐storage‐charging microgrids under extreme operating environments: A comprehensive review

Energy Conversion and Economics, EarlyView.
Abstract Photovoltaic‐storage‐charging microgrids (PSCMs) are being increasingly deployed in extreme environments, including desert, polar, coastal and high‐altitude regions, to provide a reliable and sustainable power supply. However, these harsh environments significantly accelerate the degradation of photovoltaic arrays, battery storage systems and ...
Qiong Liu, Jun Wang, Jiaxu Duan, Yunhui Liu, Yue Chen   +4 more
wiley   +1 more source

How Leaders With Dark Personality Shape Their Climates: Developing a Theory of Influence Tactics and Follower Responses

British Journal of Management, EarlyView.
Abstract Despite burgeoning attention to dark leaders, we lack understanding about how they shape their climates. Using the dark triad (Machiavellianism, narcissism, psychopathy), we integrate social psychology and leadership research on interpersonal, romantic and leader–follower relationships to identify two predominant influence strategies ...
Al‐Karim Samnani, Sadia Jahanzeb
wiley   +1 more source