Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Wen Chuan Lee"'
Publikováno v:
The Scientific World Journal, Vol 2012 (2012)
Taiwan red-feathered country chickens (TRFCCs) are one of the main meat resources in Taiwan. Due to the lack of any systematic breeding programs to improve egg productivity, the egg production rate of this breed has gradually decreased. The predictio
Externí odkaz:
https://doaj.org/article/f26b185c4032452e91eca86f045dec18
Autor:
Zhuo Zhang, Wen-Chuan Lee, Wei You, Xiangyu Zhang, Guanhong Tao, Yousra Aafer, Yonghwi Kwon, Yapeng Ye
Publikováno v:
IEEE Symposium on Security and Privacy
Recovering variables and data structure information from stripped binary is a prominent challenge in binary program analysis. While various state-of-the-art techniques are effective in specific settings, such effectiveness may not generalize. This is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ec4b81b939f6bd7bb238a2f5f9d456c
https://doi.org/10.1109/sp40001.2021.00051
https://doi.org/10.1109/sp40001.2021.00051
Publikováno v:
KDD
EXplainable AI (XAI) methods have been proposed to interpret how a deep neural network predicts inputs through model saliency explanations that highlight the input parts deemed important to arrive at a decision for a specific target. However, it rema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8340bee36f47998af13269300bfe90
http://arxiv.org/abs/2009.10639
http://arxiv.org/abs/2009.10639
Publikováno v:
Journal of Applied Mathematics, Vol 2012 (2012)
Process capability analysis has been widely applied in the field of quality control to monitor the performance of industrial processes. In practice, lifetime performance index CL is a popular means to assess the performance and potential of their pro
Externí odkaz:
https://doaj.org/article/e32826a8ab7d4c3baf8df2af16b1cac0
Publikováno v:
CCS
This paper presents a technique to scan neural network based AI models to determine if they are trojaned. Pre-trained AI models may contain back-doors that are injected through training or by transforming inner neuron weights. These trojaned models o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e5fa21237dd91f85e6ebc7519622968
https://doi.org/10.1145/3319535.3363216
https://doi.org/10.1145/3319535.3363216
Publikováno v:
2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f3f43ee24e1c36c72bdbf5ab01d2570
https://doi.org/10.1109/cgo.2019.8661177
https://doi.org/10.1109/cgo.2019.8661177
Publikováno v:
NDSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c4a1123e3ecbdb498eba04c36896961
https://doi.org/10.14722/ndss.2019.23415
https://doi.org/10.14722/ndss.2019.23415
Publikováno v:
ESEC/SIGSOFT FSE
Artificial intelligence models are becoming an integral part of modern computing systems. Just like software inevitably has bugs, models have bugs too, leading to poor classification/prediction accuracy. Unlike software bugs, model bugs cannot be eas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6bef22785673f223750c202e265d698
https://doi.org/10.1145/3236024.3236082
https://doi.org/10.1145/3236024.3236082
Autor:
Zhan Tu, Fan Fei, Xinyan Deng, Dongyan Xu, Hongjun Choi, Wen-Chuan Lee, Yousra Aafer, Xiangyu Zhang
Publikováno v:
CCS
Robotic vehicles (RVs), such as drones and ground rovers, are a type of cyber-physical systems that operate in the physical world under the control of computing components in the cyber world. Despite RVs' robustness against natural disturbances, cybe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25c91f36c35beb433abcc6224e408e5
https://doi.org/10.1145/3243734.3243752
https://doi.org/10.1145/3243734.3243752
Autor:
Dongyan Xu, Fei Wang, Kyu Hyung Lee, Yonghwi Kwon, Shiqing Ma, Vinod Yegneswaran, Wen-Chuan Lee, Xiangyu Zhang, Weihang Wang, Somesh Jha, Gabriela F. Ciocarlie, Ashish Gehani
Publikováno v:
NDSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6992dc6902c0850560d6177ba438f6b9
https://doi.org/10.14722/ndss.2018.23306
https://doi.org/10.14722/ndss.2018.23306