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Deep Learning with Differential Privacy.

, , , , , , and . ACM Conference on Computer and Communications Security, page 308-318. ACM, (2016)

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Is Generator Conditioning Causally Related to GAN Performance?, , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 3846-3855. PMLR, (2018)Large-Scale Feature Learning With Spike-and-Slab Sparse Coding., , and . ICML, icml.cc / Omnipress, (2012)Joint Training of Deep Boltzmann Machines, , and . CoRR, (2012)Realistic Evaluation of Deep Semi-Supervised Learning Algorithms., , , , and . NeurIPS, page 3239-3250. (2018)Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step., , , , , and . ICLR (Poster), OpenReview.net, (2018)Ensemble Adversarial Training: Attacks and Defenses., , , , , and . ICLR (Poster), OpenReview.net, (2018)On the Protection of Private Information in Machine Learning Systems: Two Recent Approches., , , , , , , and . CSF, page 1-6. IEEE Computer Society, (2017)Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks, , , , , and . (2013)Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values., , , and . ICLR (Workshop), OpenReview.net, (2018)Discriminator Rejection Sampling., , , , and . CoRR, (2018)