Adversarial Robustness: Softmax versus Openmax

Image quality assessment: from error visibility to structural similarity

Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, and Eero P. Simoncelli · 2004

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Parametric image alignment using enhanced correlation coefficient maximization

Georgios D. Evangelidis and Emmanouil Z. Psarakis · 2008

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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups

Geoffrey Hinton, Li Deng, Dong Yu, George E. Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N. Sainath, et al · 2012

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DeCAF: A deep convolutional activation feature for generic visual recognition

Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell · 2014

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CNN features off-the-shelf: An astounding baseline for recognition

Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson · 2014

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Deep learning face representation from predicting 10,000 classes

Yi Sun, Xiaogang Wang, and Xiaoou Tang · 2014

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Intriguing properties of neural networks

Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus · 2014

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Deepface: Closing the gap to human-level performance in face verification

Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, and Lior Wolf · 2014

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Explaining and harnessing adversarial examples

Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015

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Deep learning face attributes in the wild

Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015

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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Anh Nguyen, Jason Yosinski, and Jeff Clune · 2015

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Deep face recognition

Omkar M. Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015

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ImageNet large scale visual recognition challenge

Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015

Going deeper with convolutions

Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015

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Towards open set deep networks

Abhijit Bendale and Terrance E. Boult · 2016

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Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016

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Adversarial diversity and hard positive generation

Andras Rozsa, Ethan M. Rudd, and Terrance E. Boult · 2016

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Adversarial manipulation of deep representations

Sara Sabour, Yanshuai Cao, Fartash Faghri, and David J. Fleet · 2016

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Adversarial machine learning at scale

Alexey Kurakin, Ian J. Goodfellow, and Samy Bengio · 2017

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