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5,001 to 5,010 of 5,197 Results
images.7z.010
Sep 18, 2020 - Panda images dataset
Unknown - 1000.0 MB - MD5: c06f9d08d48b9ec2ca0187968088eb3f
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.011
Sep 18, 2020 - Panda images dataset
Unknown - 1000.0 MB - MD5: 7cc24e41400c90401c82e912ff7456f5
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.012
Sep 18, 2020 - Panda images dataset
Unknown - 1000.0 MB - MD5: 385259d923dfd2331da020f56d6d6353
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.013
Sep 18, 2020 - Panda images dataset
Unknown - 120.4 MB - MD5: ad4884fe16534ab72e7b446fcffd15ed
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
Supplementary Materials for: Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems
Supplementary Materials for: Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems
Aug 26, 2020 - Software Reliability and Security Lab
Du, Xiaoning; Li, Yi; Xie, Xiaofei; Ma, Lei; Liu, Yang; Zhao, Jianjun, 2020, "Supplementary Materials for: Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems", https://doi.org/10.21979/N9/TTTSFK, DR-NTU (Data), V1
This supplementary material contains additional proofs for the paper: "Marble: Model-based Robustness Analysis of Stateful DeepLearning Systems".
MARBLE_appendix.pdf
MARBLE_appendix.pdf
Aug 26, 2020 - Supplementary Materials for: Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems
Adobe PDF - 561.3 KB - MD5: 6e9098c1634463be20919cf4a3451b34
Additional proofs
Replication Data for: GenSlice: Generalized Semantic History Slicing
Aug 21, 2020 - Software Reliability and Security Lab
Zhu, Chenguang; Li, Yi; Rubin, Julia; Chechik, Marsha, 2020, "Replication Data for: GenSlice: Generalized Semantic History Slicing", https://doi.org/10.21979/N9/LPHCUS, DR-NTU (Data), V3
This dataset contains the raw experiment data and replication package for the ICSME'20 paper: "GenSlice: Generalized Semantic History Slicing". The replication package is also available at: https://github.com/Chenguang-Zhu/icsme20-artifact (2020-08-06)
replication-package.tar.gz
Aug 21, 2020 - Replication Data for: GenSlice: Generalized Semantic History Slicing
Gzip Archive - 22.1 MB - MD5: bad1a6b6e9e480248a69937f75e3c8ff
Replication package for GenSlice experiments
raw-results.tar
Aug 7, 2020 - Replication Data for: GenSlice: Generalized Semantic History Slicing
TAR Archive - 165.3 MB - MD5: 7daf37461207cb15da0d96121e626e0c
Raw data obtained in the GenSlice experiments
Replication Data for: Towards Automated Verification of Smart Contract Fairness
May 27, 2020 - Software Reliability and Security Lab
Liu, Ye; Li, Yi; Lin, Shang-Wei, 2020, "Replication Data for: Towards Automated Verification of Smart Contract Fairness", https://doi.org/10.21979/N9/0BEVRT, DR-NTU (Data), V1
Software artifacts created for the paper titled "Towards Automated Verification of Smart Contract Fairness" accepted at FSE'20.
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