Results 201 to 210 of about 94,262 (290)
Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing. [PDF]
Tiwari K, Zhang L.
europepmc +1 more source
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley +1 more source
A Comprehensive Review on Adversarial Attack Detection Analysis in Deep Learning
Soni Kumari, Sheshang Degadwala
openalex +1 more source
Machine learning models, and in particular deep neural networks, are now widely deployed in applications that demand high levels of accuracy and reliability. However, over the past decade, researchers have shown that these systems are not inherently robust, as they are vulnerable to adversarial interventions that can manipulate their behavior in subtle
openaire +1 more source
Traditional Chinese medicine (TCM) faces great challenges during the development of modern medicine. Utilizing novel technologies such as artificial intelligence (AI) and nanotechnology facilitates TCM with great potential in precision diagnosis and improved treatments efficacy.
Wenqi Yu +7 more
wiley +1 more source
Generative AI for Requirements Engineering: A Systematic Literature Review
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
Adversarial Patch Attacks on Vision-Based Cargo Occupancy Estimation via Differentiable 3D Simulation [PDF]
Hedna, Mohamed Rissal +1 more
openalex
Segmentation and Tracking of Eruptive Solar Phenomena With Convolutional Neural Networks
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
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 +3 more
doaj
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
Fengshuo Bai +4 more
openalex +2 more sources

