Zobrazeno 1 - 10
of 534
pro vyhledávání: '"WANG Shilin"'
Publikováno v:
Youqi dizhi yu caishoulu, Vol 31, Iss 3, Pp 31-41 (2024)
The reservoir lithology of the fourth Member of Dengying Formation in the north-central Sichuan Basin is complex with strong heterogeneity， which limits the gas reservoir exploration in the fourth Member of Dengying Formation. To further deepen the
Externí odkaz:
https://doaj.org/article/2025c297d0f24595b763771005a84f3b
Publikováno v:
Open Geosciences, Vol 15, Iss 1, Pp 333-45 (2023)
The middle Permian Maokou Formation in the Longnüsi area in the central Sichuan Basin is currently a key formation for exploration and development. The evaluation of the current in situ stress in this area is of great significance for fracture predi
Externí odkaz:
https://doaj.org/article/b52b061a830f458e945f836914b08fad
Autor:
Hu, Zhiyao, Wang, Shilin, Qiao, Linmu, Isogawa, Takuya, Li, Changhao, Yang, Yu, Wang, Guoqing, Yuan, Haidong, Cappellaro, Paola
In practical applications like quantum sensing and quantum imaging, there is often a necessity to estimate multiple parameters simultaneously. Although the ultimate precision limits for single-parameter estimation are well established, the precision
Externí odkaz:
http://arxiv.org/abs/2411.18896
Publikováno v:
Rice Science, Vol 28, Iss 2, Pp 114-118 (2021)
Externí odkaz:
https://doaj.org/article/82599991547448ee907f3d8eb48eff3e
Model extraction aims to create a functionally similar copy from a machine learning as a service (MLaaS) API with minimal overhead, typically for illicit profit or as a precursor to further attacks, posing a significant threat to the MLaaS ecosystem.
Externí odkaz:
http://arxiv.org/abs/2409.14122
With the rise of Machine Learning as a Service (MLaaS) platforms,safeguarding the intellectual property of deep learning models is becoming paramount. Among various protective measures, trigger set watermarking has emerged as a flexible and effective
Externí odkaz:
http://arxiv.org/abs/2404.13518
Generative models have shown a giant leap in synthesizing photo-realistic images with minimal expertise, sparking concerns about the authenticity of online information. This study aims to develop a universal AI-generated image detector capable of ide
Externí odkaz:
http://arxiv.org/abs/2404.04883
To trace the copyright of deep neural networks, an owner can embed its identity information into its model as a watermark. The capacity of the watermark quantify the maximal volume of information that can be verified from the watermarked model. Curre
Externí odkaz:
http://arxiv.org/abs/2402.12720
As ultra-realistic face forgery techniques emerge, deepfake detection has attracted increasing attention due to security concerns. Many detectors cannot achieve accurate results when detecting unseen manipulations despite excellent performance on kno
Externí odkaz:
http://arxiv.org/abs/2211.03346
Backdoor-based watermarking schemes were proposed to protect the intellectual property of artificial intelligence models, especially deep neural networks, under the black-box setting. Compared with ordinary backdoors, backdoor-based watermarks need t
Externí odkaz:
http://arxiv.org/abs/2208.14127