ABCDEFGHIJKLMNOPQRSTUVWXYZ
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Unbiased look at dataset bias
https://people.csail.mit.edu/torralba/publications/datasets_cvpr11.pdf
Yiting Mao, Lin Chai
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systems google ml problem paper
https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdf
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ML Security
https://www.usenix.org/conference/usenixsecurity16/technical-sessions/presentation/tramer
Anh
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Practical Black-Box Attacks against Deep Learning Systems
https://arxiv.org/pdf/1602.02697v2.pdf
Sam, David, Jishnu
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DeepMPC: Learning Deep Latent Features for Model Predictive Control
http://deepmpc.cs.cornell.edu/DeepMPC.pdf
Sam, David, Jishnu
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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
http://www.evolvingai.org/fooling
Ben, Faisal?
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Intriguing properties of neural networks
https://arxiv.org/abs/1312.6199
Kirti, Sujaya
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Unsupervised risk estimation
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Explaining and Harnessing Adversarial Examples
https://arxiv.org/abs/1412.6572
Ben, Faisal?
10
The Limitations of Deep Learning in Adversarial Settings
http://ieeexplore.ieee.org/document/7467366/?arnumber=7467366
Ben, Faisal?
Q: do they know the model?
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Metehan13th
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Unbiased look at dataset bias20th
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ML Security27th
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Intriguing properties of neural networks3rd
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DeepMPC: Learning Deep Latent Features for Model Predictive Control17th
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One adversarialDec 1
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