Invisible CMOS Camera Dazzling for Conducting Adversarial Attacks on Deep Neural Networks. [PDF]
Sensors (Basel)Stein Z, Hazan A, Stern A.
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Generative AI for Requirements Engineering: A Systematic Literature Review
Software: Practice and Experience, Volume 56, Issue 2, Page 141-170, February 2026.ABSTRACT Introduction Requirements engineering (RE) faces challenges due to the handling of increasingly complex software systems. These challenges can be addressed using generative artificial intelligence (GenAI). Given that GenAI‐based RE has not been systematically analyzed in detail, this review examines the related research, focusing on trends ...
Haowei Cheng +6 more
wiley +1 more source
adverSCarial: assessing the vulnerability of single-cell RNA-sequencing classifiers to adversarial attacks. [PDF]
BioinformaticsFievet G +3 more
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Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks. [PDF]
Sensors (Basel), 2022 Zhang J, Maeda K, Ogawa T, Haseyama M.
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Defending Against Adversarial Attacks by Leveraging an Entire GAN [PDF]
, 2018 Gokula Krishnan Santhanam +1 more
openalex +1 more source
Comparison and Evaluation of the attacks and defenses against Adversarial attacks
, 2021 Aleksandar Janković
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Segmentation and Tracking of Eruptive Solar Phenomena With Convolutional Neural Networks
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Solar eruptive events are complex phenomena, which most often include coronal mass ejections (CME), CME‐driven compressive and shock waves, flares, and filament eruptions. CMEs are large eruptions of magnetized plasma from the Sun's outer atmosphere or corona, that propagate outward into the interplanetary space.
Oleg Stepanyuk, Kamen Kozarev
wiley +1 more source
Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm. [PDF]
Sci RepLabib SMFR +4 more
europepmc +1 more source
Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning. [PDF]
J Imaging, 2022 Minagi A, Hirano H, Takemoto K.
europepmc +1 more source
Should all Noises Be Treated Equally: Impact of Input Noise Variability on Neural Network Robustness
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Geophysical data collected from active field sites are often contaminated by complex and heterogeneous noise, obscuring weak seismic events, and complicating automated interpretation. Although deep learning offers promising solutions for seismic processing, its performance is highly sensitive to the nature of training noise, especially under ...
S. Alsinan +4 more
wiley +1 more source