Difference between revisions of "Offense - Adversarial Threats/Attacks"
| Line 9: | Line 9: | ||
* [http://evademl.org/ EvadeML.org | University of Virginia] | * [http://evademl.org/ EvadeML.org | University of Virginia] | ||
* [http://arxiv.org/pdf/1611.04786.pdf AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack .pdf] | * [http://arxiv.org/pdf/1611.04786.pdf AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack .pdf] | ||
| − | * [http://pralab.diee.unica.it/en/AdversariaLib AdversariaLib | Pattern Recognition and Applications Lab] | + | * [http://pralab.diee.unica.it/en Pattern Recognition and Applications Lab] |
| − | * [http://pralab.diee.unica.it/en/ALFASVMLib ALFASVMLib | Pattern Recognition and Applications Lab] | + | ** [http://pralab.diee.unica.it/en/AdversariaLib AdversariaLib | Pattern Recognition and Applications Lab] |
| + | ** [http://pralab.diee.unica.it/en/ALFASVMLib adversarial label flip attacks against Support Vector Machines (ALFASVMLib) | Pattern Recognition and Applications Lab] | ||
Revision as of 19:33, 11 June 2018
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- Adversarial Machine Learning for Anti-Malware Software | nababora @ GitHub
- EvadeML.org | University of Virginia
- AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack .pdf
- Pattern Recognition and Applications Lab
