Andy Davis

According to our database1, Andy Davis authored at least 16 papers between 2004 and 2024.

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Bibliography

2024
On Training a Neural Network to Explain Binaries.
CoRR, 2024

2023
A Study of Multi-Factor and Risk-Based Authentication Availability.
Proceedings of the 32nd USENIX Security Symposium, 2023

Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models.
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.
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.
Int. J. Inf. Sec., 2021

MLIR: Scaling Compiler Infrastructure for Domain Specific Computation.
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.
CoRR, 2020

2018
Dynamic control flow in large-scale machine learning.
Proceedings of the Thirteenth EuroSys Conference, 2018

2017
AutoCTF: Creating Diverse Pwnables via Automated Bug Injection.
Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
TensorFlow: A system for large-scale machine learning.
CoRR, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR, 2016


2014
The Fun and Future of CTF.
Proceedings of the 2014 USENIX Summit on Gaming, 2014

2004
Edgecomputing: extending enterprise applications to the edge of the internet.
Proceedings of the 13th international conference on World Wide Web, 2004

Integrating Tomorrow's Government: An Exploratory Case Study of Resistance to Data Consolidation.
Proceedings of the 10th Americas Conference on Information Systems, 2004


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