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Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
Papernot, N.; McDaniel, P.; Goodfellow, I · 2016
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Kurakin, A.; Goodfellow, I.; Bengio, S · 2016
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Moosavi-Dezfooli, S.M.; Fawzi, A.; Frossard, P · 2016
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Narodytska, N.; Kasiviswanathan, S.P · 2016
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Buolamwini, J.; Gebru, T · 2018
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Kurakin, A.; Goodfellow, I.; Bengio, S · 2016
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Distillation as a defense to adversarial perturbations against deep neural networks
Papernot, N.; McDaniel, P.; Wu, X.; Jha, S.; Swami, A · 2016
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Stan: A probabilistic programming language
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Probabilistic programming in Python using PyMC3
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Edward: A library for probabilistic modeling, inference, and criticism
Tran, D.; Kucukelbir, A.; Dieng, A.B.; Rudolph, M.; Liang, D.; Blei, D.M · 2016
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NumPy receives first ever funding, thanks to Moore Foundation
Authors, N · 2017
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Lemaître, G.; Nogueira, F.; Aridas, C.K · 2017
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Chen, P.Y.; Sharma, Y.; Zhang, H.; Yi, J.; Hsieh, C.J · 2018
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Goodfellow, I.; Qin, Y.; Berthelot, D · 2018
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Uesato, J.; O’Donoghue, B.; Oord, A.v.d.; Kohli, P · 2018
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Grosse, K.; Pfaff, D.; Smith, M.T.; Backes, M · 2018
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Alaifari, R.; Alberti, G.S.; Gauksson, T · 2018
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Schott, L.; Rauber, J.; Bethge, M.; Brendel, W · 2018
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Buckman, J.; Roy, A.; Raffel, C.; Goodfellow, I · 2018
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Battaglia, P.W.; Hamrick, J.B.; Bapst, V.; Sanchez-Gonzalez, A.; Zambaldi, V.; Malinowski, M.; Tacchetti, A.; Raposo, D.; Santoro, A.; Faulkner, R.; others · 2018
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