Results 1 to 10 of about 3,057,310 (285)
ShrewdAttack: Low Cost High Accuracy Model Extraction [PDF]
Entropy, 2023 Machine learning as a service (MLaaS) plays an essential role in the current ecosystem. Enterprises do not need to train models by themselves separately. Instead, they can use well-trained models provided by MLaaS to support business activities. However,
Yang Liu +5 more
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Research on Device Modeling Technique Based on MLP Neural Network for Model Parameter Extraction
Applied Sciences, 2022 The parameter extraction of device models is critically important for circuit simulation. The device models in the existing parameter extraction software are physics-based analytical models, or embedded Simulation program with integrated circuit emphasis
Haixia Kang +3 more
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Triple Extraction Model for Legal Texts [PDF]
Jisuanji gongcheng, 2021 The open-source documents of criminal sentences on China judgments online contain important legal information.However,the documents are usually transcribed in the form of natural language and difficult for machines to understand.This paper proposes a ...
CHEN Yanguang, WANG Lei, SUN Yuanyuan, WANG Zhizheng, ZHANG Shuchen
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Transport Model for Feature Extraction
SIAM Journal on Mathematics of Data Science, 2021 We present a new feature extraction method for complex and large datasets, based on the concept of transport operators on graphs. The proposed approach generalizes and extends the many existing data representation methodologies built upon diffusion processes, to a new domain where dynamical systems play a key role.
Czaja, Wojciech +3 more
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Data-Free Model Extraction [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Current model extraction attacks assume that the adversary has access to a surrogate dataset with characteristics similar to the proprietary data used to train the victim model. This requirement precludes the use of existing model extraction techniques on valuable models, such as those trained on rare or hard to acquire datasets.
Truong, Jean-Baptiste +3 more
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Deformable contours: modeling and extraction [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995 This paper considers the problem of modeling and extracting arbitrary deformable contours from noisy images. We propose a global contour model based on a stable and regenerative shape matrix, which is invariant and unique under rigid motions. Combined with Markov random field to model local deformations, this yields prior distribution that exerts ...
Chin, Roland T, Lai, Kok F
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Reassessing Models of Hepatic Extraction [PDF]
Journal of Biological Physics, 2003 The aim of this investigation is to compare different mathematical models of the liver in the context of in vitro-in vivo correlation. We reanalyze drugs from the Houston reviews [1, 2], and compare the mathematical models. For the well-stirred model, a particular form of the distributed tubes model, and the dispersion model, fits are done to in vitro ...
D, Ridgway, J A, Tuszynski, Y K, Tam
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Analyzing Security Protocol Web Implementations Based on Model Extraction With Applied PI Calculus
IEEE Access, 2020 Analyzing security protocol web implementations is a crucial part of web security. Based on the model extraction technology, this paper first defines SubJavaScript and SubPython languages, and then establishes mapping models from SubPython and ...
Xudong He +5 more
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Application of Text Rank Algorithm Fused With LDA in Information Extraction Model
IEEE Access, 2023 With the rapid development of network technology, a large amount of information fills the network world, and the performance of the current information extraction model to extract keyword information from a large number of data is insufficient.
Yunbo Wei, Yongsheng Ding
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Span-based single-stage joint entity-relation extraction model.
PLoS ONE, 2023 Extracting entities and relations from the unstructured text has attracted increasing attention in recent years. The existing work has achieved considerable results, yet it is difficult to solve entity overlap and exposure bias.
Dongchen Han +4 more
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