publications

kubiatowicz

April 3, 2018

John Kubiatowicz and Group’s (Circa 2000) Paper Named Most Influential at ASPLOS 2018

At the ASPLOS conference in late March, John Kubitowicz and his group from 2000 were celebrated for their paper, “OceanStore: an architecture for global-scale persistent storage.” The paper was named Most Influential Paper 2018, and the authors receiving the award included David Bindel, Yan Chen, Steven Czerwinski, Patrick Eaton, Dennis Geels,…

Nicholas Carlini (photo: Kore Chan/Dail Cal)

March 5, 2018

AI training may leak secrets to canny thieves

A paper released on arXiv last week by a team of researchers including Prof. Dawn Song and Ph.D. student Nicholas Carlini (B.A. CS/Math ’13), reveals just how vulnerable deep learning is to information leakage.  The researchers labelled the problem “unintended memorization” and explained it happens if miscreants can access to…

Ben Recht (Simons Institute)

December 20, 2017

Ben Recht wins NIPS Test of Time Award

Prof. Ben Recht has won the Neural Information Processing System (NIPS) 2017 Test of Time Award for a paper he co-wrote with Ali Rahimi in 2007 titled “Random Features for Large-Scale Kernel Machines.”   Deep learning, which involves stacking many neural networks on top of one another to learn the…

EE alumnus C. L. Hoang and his travelogue, Rain Falling on Tamarind Trees

November 17, 2017

C. L. Hoang publishes “Rain Falling on Tamarind Trees”

A  new book, Rain Falling on Tamarind Trees, by EE alumnus C. L. Hoang (M.S. ’82), is set to be released by Willow Stream Publishing tomorrow.  Hoang was born and raised in Vietnam during the war and came to the US in the 1970s.  He wrote this travelogue about his…

iccvlogo_alpha

October 30, 2017

Three EECS-affiliated papers win Helmholtz Prize at ICCV 2017

Three papers with Berkeley authors received the Helmholtz Prize at the International Conference on Computer Vision (ICCV) 2017 in Venice, Italy.  This award honors  papers that have stood the test of time (more than ten years after first publication) and is bestowed by the IEEE technical committee on Pattern Analysis…

riselab-logo-750

October 17, 2017

RISELab researchers investigate how to build more secure, faster AI systems

Computer Science faculty in the Real-Time Intelligent Secure Execution Lab (RISELab) have outlined challenges in systems, security and architecture that may impede the progress of Artificial Intelligence, and propose new research directions to address them.  The paper, A Berkeley View of Systems Challenges for AI, was authored by…