Andy Davis

According to our database, Andy Davis authored at least 16 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

On Training a Neural Network to Explain Binaries.

Alexander Interrante-Grant, Andy Davis, Heather Preslier, Tim Leek

CoRR, 2024

2023

A Study of Multi-Factor and Risk-Based Authentication Availability.

Anthony Gavazzi, Ryan Williams, Engin Kirda, Long Lu, Andre King, Andy Davis, Tim Leek

Proceedings of the 32nd USENIX Security Symposium, 2023

Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models.

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

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s.

Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Cyber security in New Space.

Mark Manulis, Christopher P. Bridges, R. Harrison, Venkkatesh Sekar, Andy Davis

Int. J. Inf. Sec., 2021

MLIR: Scaling Compiler Infrastructure for Domain Specific Computation.

Chris Lattner, Mehdi Amini, Uday Bondhugula, Albert Cohen, Andy Davis, Jacques A. Pienaar, River Riddle, Tatiana Shpeisman, Nicolas Vasilache, Oleksandr Zinenko

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

MLIR: A Compiler Infrastructure for the End of Moore's Law.

Chris Lattner, Jacques A. Pienaar, Mehdi Amini, Uday Bondhugula, River Riddle, Albert Cohen, Tatiana Shpeisman, Andy Davis, Nicolas Vasilache, Oleksandr Zinenko

CoRR, 2020

2018

Dynamic control flow in large-scale machine learning.

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

Proceedings of the Thirteenth EuroSys Conference, 2018

2017

AutoCTF: Creating Diverse Pwnables via Automated Bug Injection.

Patrick Hulin, Andy Davis, Rahul Sridhar, Andrew Fasano, Cody Gallagher, Aaron Sedlacek, Tim Leek, Brendan Dolan-Gavitt

Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

TensorFlow: A system for large-scale machine learning.

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

CoRR, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

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

CoRR, 2016

TensorFlow: A System for Large-Scale Machine Learning.

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

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

2014

The Fun and Future of CTF.

Andy Davis, Tim Leek, Michael Zhivich, Kyle Gwinnup, William Leonard

Proceedings of the 2014 USENIX Summit on Gaming, 2014

2004

Edgecomputing: extending enterprise applications to the edge of the internet.

Andy Davis, Jay Parikh, William E. Weihl

Proceedings of the 13th international conference on World Wide Web, 2004

Integrating Tomorrow's Government: An Exploratory Case Study of Resistance to Data Consolidation.

John Woosley, Carlos Thomas, Andy Davis

Proceedings of the 10th Americas Conference on Information Systems, 2004