Results 211 to 220 of about 12,832 (282)

ALA: Naturalness-aware Adversarial Lightness Attack

Most researchers have tried to enhance the robustness of DNNs by revealing and repairing the vulnerability of DNNs with specialized adversarial examples. Parts of the attack examples have imperceptible perturbations restricted by Lp norm. However, due to
Huang, Yihao, Guo, Qing, Pu, Geguang, Juefei-Xu, Felix, Sun, Liangru, Liu, Yang, Zhu, Jiayi, Feng, Jincao   +7 more
core   +1 more source

Generalized loss of trust following political betrayal: Cross‐country evidence in the context of elections

Political Psychology, Volume 47, Issue 4, August 2026.
Abstract This research investigates how perceptions of political betrayal—that is, the perceived violation of mutually known pivotal expectations by a political entity—shape political trust. We test a generalization hypothesis that the loss of trust might extend beyond the specific political entity (i.e., the one who betrayed) and generalize to others.
Jakob Schuck, Rainer Greifeneder, Fanny Lalot   +2 more
wiley   +1 more source

Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing. [PDF]

Entropy (Basel)
Tiwari K, Zhang L.
europepmc   +1 more source

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

Engineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa, Ahmad Taher Azar, Walid El‐Shafai   +2 more
wiley   +1 more source

Optimized Joint Relay and Antenna Selection for Enhanced Full‐Duplex Relay Networks

Engineering Reports, Volume 8, Issue 7, July 2026.
This study proposes a joint relay and antenna selection strategy for full‐duplex amplify‐and‐forward relay networks. By adaptively optimizing transmitter–receiver configurations based on channel conditions, the method reduces self‐interference, lowers outage probability, and symbol error rate, and enhances spectral efficiency, offering a scalable ...
Deepika Rani Sona, Visalakshi Annepu, Kalapraveen Bagadi, Olutayo O. Oyerinde   +3 more
wiley   +1 more source

ADVREPAIR:Provable Repair of Adversarial Attack

Deep neural networks (DNNs) are increasingly deployed in safety-critical domains, but their vulnerability to adversarial attacks poses serious safety risks.
Huang, Xiaowei, Yang, Pengfei, Huang, Cheng-Chao, Zhang, Lijun, Chi, Zhiming, Li, Renjue, Ma, Jianan   +6 more
core   +1 more source

Geographic Patterns in I2P Peer Selection: An Empirical Network Topology Analysis

Internet Technology Letters, Volume 9, Issue 4, July/August 2026.
ABSTRACT The Invisible Internet Project (I2P) routes data via encrypted, decentralized tunnels. Peer selection can significantly affect security and performance. This empirical study examines whether geographic location systematically influences I2P's routing topology.
Siddique Abubakr Muntaka, Jess Kropczynski, Jacques Bou Abdo, Murat Ozer   +3 more
wiley   +1 more source

Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps

Journal of Corporate Accounting &Finance, Volume 37, Issue 3, Page 135-146, July 2026.
ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley   +1 more source

Research on adversarial attacks and defense performance of image classification models for automated driving systems

机车电传动
Image classification models have been widely applied to facilitate functions such as autonomous perception and positioning for automated driving in many transportation systems, including automobiles, autonomous rail and urban rail transit systems ...
TANG Jun, HUANG Wenjing, LI Shuang, WU Zili   +3 more
doaj  

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis

Journal of Magnetic Resonance Imaging, Volume 64, Issue 1, Page 90-109, July 2026.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen, Olli Nykänen, Jyri Järvinen, Antti Kemppainen, Lasse Räsänen, Victor Casula, Martijn Cloos, Riccardo Lattanzi, Mikko J. Nissi, Miika T. Nieminen   +9 more
wiley   +1 more source