Andy Davis

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 16

Top Topics

Machine Learning

Top Venues

USENIX Security Symposium

Publications

Alexander Interrante-Grant, Andy Davis, Heather Preslier, Tim Leek
On Training a Neural Network to Explain Binaries. CoRR (2024)
Anthony Gavazzi, Ryan Williams, Engin Kirda, Long Lu, Andre King, Andy Davis, Tim Leek
A Study of Multi-Factor and Risk-Based Authentication Availability. USENIX Security Symposium (2023)
Shibo Wang, Jinliang Wei, Amit Sabne, Andy Davis, Berkin Ilbeyi, Blake Hechtman, Dehao Chen, Karthik Srinivasa Murthy, Marcello Maggioni, Qiao Zhang, Sameer Kumar, Tongfei Guo, Yuanzhong Xu, Zongwei Zhou
Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models. ASPLOS (1) (2023)
Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s. CoRR (2022)
Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s. NeurIPS (2022)
Chris Lattner, Mehdi Amini, Uday Bondhugula, Albert Cohen, Andy Davis, Jacques A. Pienaar, River Riddle, Tatiana Shpeisman, Nicolas Vasilache, Oleksandr Zinenko
MLIR: Scaling Compiler Infrastructure for Domain Specific Computation. CGO (2021)
Mark Manulis, Christopher P. Bridges, R. Harrison, Venkkatesh Sekar, Andy Davis
Cyber security in New Space. Int. J. Inf. Sec. 20 (3) (2021)
Chris Lattner, Jacques A. Pienaar, Mehdi Amini, Uday Bondhugula, River Riddle, Albert Cohen, Tatiana Shpeisman, Andy Davis, Nicolas Vasilache, Oleksandr Zinenko
MLIR: A Compiler Infrastructure for the End of Moore's Law. CoRR (2020)
Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng
Dynamic Control Flow in Large-Scale Machine Learning. CoRR (2018)
Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng
Dynamic control flow in large-scale machine learning. EuroSys (2018)
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. ICLR (Poster) (2017)
Patrick Hulin, Andy Davis, Rahul Sridhar, Andrew Fasano, Cody Gallagher, Aaron Sedlacek, Tim Leek, Brendan Dolan-Gavitt
AutoCTF: Creating Diverse Pwnables via Automated Bug Injection. WOOT (2017)
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. CoRR (2017)
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR (2016)
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
TensorFlow: A System for Large-Scale Machine Learning. OSDI (2016)
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang
TensorFlow: A system for large-scale machine learning. CoRR (2016)
Andy Davis, Tim Leek, Michael Zhivich, Kyle Gwinnup, William Leonard
The Fun and Future of CTF. 3GSE (2014)
Andy Davis, Jay Parikh, William E. Weihl
Edgecomputing: extending enterprise applications to the edge of the internet. WWW (Alternate Track Papers & Posters) (2004)
John Woosley, Carlos Thomas, Andy Davis
Integrating Tomorrow's Government: An Exploratory Case Study of Resistance to Data Consolidation. AMCIS (2004)