output
20022026
most citedStealing Machine Learning Models via Prediction APIs

733 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2016Show all

7 papers · 1 filter

astro-ph.CO2016★ 34 cited

Testing Predictions of the Quantum Landscape Multiverse 2: The Exponential Inflationary Potential

Eleonora Di Valentino, Laura Mersini-Houghton

The 2015 Planck data release tightened the region of the allowed inflationary models. Inflationary models with convex potentials have now been ruled out since they produce a large…

hep-th2016★ 14 cited

Predictions of the Quantum Landscape Multiverse

Laura Mersini-Houghton

The 2015 Planck data release has placed tight constraints on the class of in ationary models allowed. The current best fit region favors concave downwards in ationary potentials, s…

astro-ph.CO2016★ 33 cited

Testing Predictions of the Quantum Landscape Multiverse 1: The Starobinsky Inflationary Potential

Eleonora Di Valentino, Laura Mersini-Houghton

The 2015 Planck data release has placed tight constraints on the allowed class of inflationary models. The current data favors concave downwards inflationary potentials while offer…

cs.CR2016★ 733 cited

Stealing Machine Learning Models via Prediction APIs

Florian Tramèr, Fan Zhang, Ari Juels +2

Machine learning (ML) models may be deemed confidential due to their sensitive training data, commercial value, or use in security applications. Increasingly often, confidential ML…

astro-ph.SR2016★ 16 cited

A subtle IR excess associated with a young White Dwarf in the Edinburgh-Cape Blue Object Survey

E. Dennihy, John H. Debes, B. H. Dunlap +3

We report the discovery of a subtle infrared excess associated with the young white dwarf EC\,05365--4749 at 3.35 and 4.6\,m. Follow-up spectroscopic observations are consistent…

cs.CV2016

Fast Predictive Image Registration

Xiao Yang, Roland Kwitt, Marc Niethammer

We present a method to predict image deformations based on patch-wise image appearance. Specifically, we design a patch-based deep encoder-decoder network which learns the pixel/vo…

q-bio.TO2016

Vortex dynamics in trabeculated embryonic ventricles

Nicholas A. Battista, Dylan R. Douglas, Andrea N. Lane +3

Proper heart morphogenesis requires a delicate balance between hemodynamic forces, myocardial activity, morphogen gradients, and epigenetic signaling, all of which are coupled with…