]> 2026-04-04T13:03:19+02:00 Investigating Robustness of DNNs 0 en Master This master thesis project aims at characterizing sensitivity to classification of images (based on deep neural networks). Learning Systems, Data Mining, Parallel programming Szegedy, Christian, et al. "Intriguing properties of neural networks." arXiv preprint arXiv:1312.6199 (2013). Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "Reducing the dimensionality of data with neural networks." Science 313.5786 (2006): 504-507. Hinton, Geoffrey E. "Learning multiple layers of representation." Trends in cognitive sciences 11.10 (2007): 428-434. Nguyen, Anh, Jason Yosinski, and Jeff Clune. "Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images." arXiv preprint arXiv:1412.1897 (2014). Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012. Finished Matej Uličný Spring 2015 Investigating Robustness of DNNs 2016-10-16T10:16:11Z 2457677.9279051 Investigating Robustness of DNNs 0 [2,"smw-datavalue-property-restricted-annotation-use","Keywords"] Investigating Robustness of DNNs# ERRd9c33d5ac8a89308063e13c4b212fa7c