Zobrazeno 1 - 10
of 11 896
pro vyhledávání: '"NICOLOSI A"'
Publikováno v:
IEEE Access, Vol 11, Pp 11298-11306 (2023)
Recent research has found that neural networks for computer vision are vulnerable to several types of external attacks that modify the input of the model, with the malicious intent of producing a misclassification. With the increase in the number of
Externí odkaz:
https://doaj.org/article/11da8a8819b7449eb7a2c8d1ea06e79e
Autor:
Xhameni, Aferdita, AlMutairi, AbdulAziz, Guo, Xuyun, Chircă, Irina, Wen, Tianyi, Hofmann, Stephan, Nicolosi, Valeria, Lombardo, Antonio
We demonstrate low energy, forming and compliance-free operation of a resistive memory obtained by the partial oxidation of a two-dimensional layered van-der-Waals semiconductor: hafnium disulfide (HfS$_2$). Semiconductor - oxide heterostructures are
Externí odkaz:
http://arxiv.org/abs/2408.07466
Discerning between authentic content and that generated by advanced AI methods has become increasingly challenging. While previous research primarily addresses the detection of fake faces, the identification of generated natural images has only recen
Externí odkaz:
http://arxiv.org/abs/2407.20337
Autor:
Simonian, Tigran, Roy, Ahin, Bajaj, Akash, Dong, Rui, Lei, Zheng, Sofer, Zdeněk, Sanvito, Stefano, Nicolosi, Valeria
Thermoelectric materials are of great interest for heat energy harvesting applications. One such promising material is TlGaSe$_{2}$, a p-type semiconducting ternary chalcogenide. Recent reports show it can be processed as a thin film, opening the doo
Externí odkaz:
http://arxiv.org/abs/2405.20739
The objective of image captioning models is to bridge the gap between the visual and linguistic modalities by generating natural language descriptions that accurately reflect the content of input images. In recent years, researchers have leveraged de
Externí odkaz:
http://arxiv.org/abs/2405.13127
Autor:
AlMutairi, AbdulAziz, Xhameni, Aferdita, Guo, Xuyun, Chircă, Irina, Nicolosi, Valeria, Hofmann, Stephan, Lombardo, Antonio
Oxidation of two-dimensional (2D) layered materials has proven advantageous in creating oxide/2D material heterostructures, opening the door for a new paradigm of low-power electronic devices. Gallium (II) sulfide ($\beta$-GaS), a hexagonal phase gro
Externí odkaz:
http://arxiv.org/abs/2405.05632
In recent years, remarkable advancements have been achieved in the field of image generation, primarily driven by the escalating demand for high-quality outcomes across various image generation subtasks, such as inpainting, denoising, and super resol
Externí odkaz:
http://arxiv.org/abs/2403.18370
The recent surge in 3D data acquisition has spurred the development of geometric deep learning models for point cloud processing, boosted by the remarkable success of transformers in natural language processing. While point cloud transformers (PTs) h
Externí odkaz:
http://arxiv.org/abs/2401.14845
The recent surge of pervasive devices that generate dynamic data streams has underscored the necessity for learning systems to adapt continually to data distributional shifts. To tackle this challenge, the research community has put forth a spectrum
Externí odkaz:
http://arxiv.org/abs/2312.02916
Machine Unlearning is rising as a new field, driven by the pressing necessity of ensuring privacy in modern artificial intelligence models. This technique primarily aims to eradicate any residual influence of a specific subset of data from the knowle
Externí odkaz:
http://arxiv.org/abs/2312.02052