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Summary by Martin Thoma 4 years ago
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Explaining and Harnessing Adversarial Examples
Ian J. Goodfellow and Jonathon Shlens and Christian Szegedy
arXiv e-Print archive - 2014 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Cubs Reading Group 2 years ago
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Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu and Zhengdong Lu and Hang Li and Victor O. K. Li
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CL, cs.AI, cs.LG, cs.NE

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Summary by Denny Britz 3 years ago
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WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
Hyunsun Choi and Eric Jang and Alexander A. Alemi
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Massimo Caccia 10 months ago
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Summary by Robert Müller 4 weeks ago
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Summary by CodyWild 1 month ago
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Summary by quaxton 1 month ago
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Summary by Alexander Jung 2 years ago
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Intriguing properties of neural networks
Christian Szegedy and Wojciech Zaremba and Ilya Sutskever and Joan Bruna and Dumitru Erhan and Ian Goodfellow and Rob Fergus
arXiv e-Print archive - 2013 via Local arXiv
Keywords: cs.CV, cs.LG, cs.NE

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Summary by David Stutz 2 years ago
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Simple Black-Box Adversarial Perturbations for Deep Networks
Nina Narodytska and Shiva Prasad Kasiviswanathan
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 2 years ago
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