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Title: GitHub - Dependable-Intelligent-Systems-Lab/SafeML: Exploring techniques for estimating safety of machine learning classifiers

Open Graph Title: GitHub - Dependable-Intelligent-Systems-Lab/SafeML: Exploring techniques for estimating safety of machine learning classifiers

X Title: GitHub - Dependable-Intelligent-Systems-Lab/SafeML: Exploring techniques for estimating safety of machine learning classifiers

Description: Exploring techniques for estimating safety of machine learning classifiers - Dependable-Intelligent-Systems-Lab/SafeML

Open Graph Description: Exploring techniques for estimating safety of machine learning classifiers - Dependable-Intelligent-Systems-Lab/SafeML

X Description: Exploring techniques for estimating safety of machine learning classifiers - Dependable-Intelligent-Systems-Lab/SafeML

Mail addresses
ioannis.sorokos@iese.fraunhofer.de
ioannis.sorokos@iese.fraunhofer.de
k.aslansefat-2018@hull.ac.uk
k.aslansefat-2018@hull.ac.uk
ramin.tavakolikolagari@th-nuernberg.de
ramin.tavakolikolagari@th-nuernberg.de
d.Whiting-2018@hull.ac.uk
d.Whiting-2018@hull.ac.uk
willbridges454@gmail.com
willbridges454@gmail.com

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https://opensource.org/licenses/MIT
https://standardjs.com
https://uk.mathworks.com/matlabcentral/fileexchange/76793-safeml-safety-monitoring-of-machine-learning-classifiers
https://safeml.readthedocs.io/en/latest/?badge=latest
https://arxiv.org/abs/2005.13166
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https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#from-safeml-toward-explainable-ai-xai
examples for security datasethttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_MATLAB/Explainable_AI
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#case-studies
CICIDS2017https://www.unb.ca/cic/datasets/ids-2017.html
MATLAB implementationhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_MATLAB
ISCXTor2016https://www.unb.ca/cic/datasets/tor.html
MATLAB implementationhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_MATLAB
CSE-CIC-IDS2018https://www.unb.ca/cic/datasets/ids-2018.html
MATLAB implementationhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_MATLAB
NSL-KDDhttps://www.unb.ca/cic/datasets/nsl.html
MATLAB implementationhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_MATLAB/NSL_KDD_Security_Dataset
CICDDoS2019https://www.unb.ca/cic/datasets/ddos-2019.html
MATLAB implementationhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_MATLAB/CICDDoS2019_Security_Dataset
CICDoS2017https://www.unb.ca/cic/datasets/dos-dataset.html
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ISCXVPN2016https://www.unb.ca/cic/datasets/vpn.html
MATLAB implementationhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_MATLAB
BotNet2014https://www.unb.ca/cic/datasets/botnet.html
MATLAB implementationhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_MATLAB
MLBENCH libraryhttps://www.rdocumentation.org/packages/mlbench/versions/2.1-1
XORhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_R/Examples/2D_XOR_Dataset
Spiralhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_R/Examples/2D_Spiral_Dataset
Circlehttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_R/Examples/2D_Circle_Dataset
Smileyhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_R/Examples/2D_Smiley_Dataset
R implementationhttps://github.com/ISorokos/SafeML/tree/master/Implementation_in_R
GTSRB - German Traffic Sign Recognition Benchmarkhttp://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
Python implementationhttps://github.com/ISorokos/SafeML/blob/master/Implementation_in_Python/Examples/German_Traffic_Sign_Recognition%20(GTSR)/GTSRB_CNN_SafeML_v1.ipynb
Kagglehttps://www.kaggle.com/kooaslansefat/cnn-97-accuracy-plus-safety-monitoring-safeml
CIFAR 10/100 Datasetshttps://www.cs.toronto.edu/~kriz/cifar.html
MATLAB implementationhttps://github.com/ISorokos/SafeML/blob/master/Implementation_in_MATLAB/CIFAR_10_Dataset/README.md
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#contributors
Ioannis Sorokos (Fraunhofer Institute for Experimental Software Engineering)https://github.com/ISorokos
Koorosh Aslansefat (University of Hull)https://github.com/koo-ec
Ramin Tavakoli Kolagari (Nuremberg Tech)https://github.com/RaminTavakoli
Declan Whiting (University of Hull & APD Communications)https://github.com/declan-whiting
William Bridges (University of Hull)https://github.com/WillBridges1999
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#publication
Aslansefat, K.https://scholar.google.com/citations?user=YBa4Tl8AAAAJ&hl=en
Sorokos, I.https://scholar.google.com/citations?user=a_BdLPAAAAAJ&hl=en
Tavakoli Kolagari, R.https://scholar.google.com/citations?user=onvU6TYAAAAJ&hl=en
Papadopoulos, Y.https://scholar.google.com/citations?user=GpwIX-QAAAAJ&hl=en
PDFhttps://github.com/ISorokos/SafeML/blob/master/Documents/SafeML%20Safety%20Monitoring%20of%20Machine%20Learning%20Classifiers%20through%20Statistical%20Difference%20Measure.pdf
arXivhttps://arxiv.org/abs/2005.13166v1
ResearchGatehttps://www.researchgate.net/publication/341699548_SafeML_Safety_Monitoring_of_Machine_Learning_Classifiers_through_Statistical_Difference_Measure/stats
DeepAIhttps://deepai.org/publication/safeml-safety-monitoring-of-machine-learning-classifiers-through-statistical-difference-measure
Springerhttps://doi.org/10.1007/978-3-030-58920-2_13
Presentation at the 7th International Symposium on Model-Based Safety and Assessment (IMBSA2020)https://github.com/ISorokos/SafeML/blob/master/Documents/SafeML_IMBSA2020_Presentation.pdf
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#medium-posts
How to Make Your Classifier Safehttps://towardsdatascience.com/tagged/Safeml%20Project
Kaggle Versionhttps://www.kaggle.com/kooaslansefat/concept-drift-adversarial-validation-safeml
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#talks
Open Ethics Series S01E06 Human-in-the-loop AI Аgency & oversight.https://openethics.ai/events/
YouTubehttps://www.youtube.com/watch?v=m4szeYSIuRc
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#cite-as
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#related-works
arXivhttp://arxiv.org/abs/1606.06565
arXivhttps://arxiv.org/pdf/1805.00899.pdf
arXivhttp://arxiv.org/abs/1901.00403
Springerhttps://doi.org/10.1007/978-3-030-26250-1_29
IEEEhttps://doi.org/10.1109/SP.2018.00058
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#related-projects
SafeNN Project: https://github.com/koo-ec/SafeNN
NN-Dependability-KIT Project: https://github.com/dependable-ai/nn-dependability-kit
Confident-NN Project: https://github.com/cfinlay/confident-nn
SafeAI Project: https://eth-sri.github.io/research/safeai
DiffAIhttps://github.com/eth-sri/diffai
DL2https://github.com/eth-sri/dl2
ERANhttps://github.com/eth-sri/eran
AI Safety via Debate:https://openai.com/blog/debate/
Debate Gameshttps://github.com/openai/pixel
SafeDNN:https://github.com/safednn-nasa
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#faqs
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#future-extensions
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#license
https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#acknowledgments
EDF Energy R&D UK Centrehttps://www.edfenergy.com/about
AURA Innovation Centrehttps://aura-innovation.co.uk/
University of Hullhttps://www.hull.ac.uk/
Readme https://patch-diff.githubusercontent.com/Dependable-Intelligent-Systems-Lab/SafeML#readme-ov-file
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