"Automating Visual Privacy Protection Using a Smart LED," presents a new technique to address the issue of cameras capturing proprietary or private information—it...Marco Gruteser From Communications of the ACM | February 2020
We introduce LiShield, which automatically protects a physical scene against photographing, by illuminating it with smart LEDs flickering in specialized waveforms...Shilin Zhu, Chi Zhang, Xinyu Zhang From Communications of the ACM | February 2020
"Evidence that Computer Science Grades Are Not Bimodal" uses empirical methods to determine if belief in innate differences may explain why CS teachers see a bimodality...Mark Guzdial From Communications of the ACM | January 2020
There is a common belief that grades in computer science courses are bimodal. We devised a psychology experiment to understand why CS educators hold this belief...Elizabeth Patitsas, Jesse Berlin, Michelle Craig, Steve Easterbrook From Communications of the ACM | January 2020
OpenPiton research is one of the watershed moments in the fundamental shift toward the construction of an open source ecosystem for implementing prototype chips...Michael B. Taylor From Communications of the ACM | December 2019
We present OpenPiton, an open source framework for building scalable architecture research prototypes from one core to 500 million cores.
Jonathan Balkind, Michael McKeown, Yaosheng Fu, Tri Nguyen, Yanqi Zhou, Alexey Lavrov, Mohammad Shahrad, Adi Fuchs, Samuel Payne, Xiaohua Liang, Matthew Matl, David Wentzlaff From Communications of the ACM | December 2019
DeepXplore brings a software testing perspective to deep neural networks and, in doing so, creates the opportunity for enormous amounts of follow-on work in several...David G. Andersen From Communications of the ACM | November 2019
We design, implement, and evaluate DeepXplore, the first white-box framework for systematically testing real-world deep learning systems.
Kexin Pei, Yinzhi Cao, Junfeng Yang, Suman Jana From Communications of the ACM | November 2019
The authors of "Building Certified Concurrent OS Kernels" illustrate that formal verification can scale up to a moderate-size program (6,500 lines of C) that has...Andrew W. Appel From Communications of the ACM | October 2019
In this work, we present CertiKOS, a novel compositional framework for building verified concurrent OS kernels.
Ronghui Gu, Zhong Shao, Hao Chen, Jieung Kim, Jérémie Koenig, Xiongnan (Newman) Wu, Vilhelm Sjöberg, David Costanzo From Communications of the ACM | October 2019
The authors of "OpenFab" propose to revisit the processing pipeline that turns a 3D model into machine instructions in light of the solutions developed in computer...Sylvain Lefebvre From Communications of the ACM | September 2019
We present OpenFab, a programmable pipeline for synthesis of multimaterial 3D printed objects that is inspired by RenderMan and modern GPU pipelines.
Kiril Vidimče, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik From Communications of the ACM | September 2019
The main focus of "Heavy Hitters via Cluster-Preserving Clustering" by Kasper Green Larsen et al. is on building up sufficient information to allow a more effective...Graham Cormode From Communications of the ACM | August 2019
We develop a new algorithm for the turnstile heavy hitters problem in general turnstile streams, the EXPANDERSKETCH, which finds the approximate top-k items in...Kasper Green Larsen, Jelani Nelson, Huy L. Nguyễn, Mikkel Thorup From Communications of the ACM | August 2019
There is a need for alternative techniques for understanding and evaluating QUIC when compared with previous transport-layer protocols.
Arash Molavi Kakhki, Samuel Jero, David Choffnes, Cristina Nita-Rotaru, Alan Mislove From Communications of the ACM | July 2019
This work studies the potential of a paradigm of heterogeneous execution models by developing a specialization engine for explicit-dataflow (SEED) and integrating...Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam From Communications of the ACM | June 2019
Demand for more powerful big data analytics solutions has spurred the development of novel programming models, abstractions, and platforms. "Scaling Machine Learning...Zachary G. Ives From Communications of the ACM | May 2019
General-purpose compression struggles to achieve both good compression ratios and fast decompression for blockwise uncompressed operations. Therefore, we introduce...Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald From Communications of the ACM | May 2019