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ORCIDJohn Clemens
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2020 – today
- 2021
[i5]John Clemens:
MLDS: A Dataset for Weight-Space Analysis of Neural Networks. CoRR abs/2104.10555 (2021)
2010 – 2019
- 2019
- [c5]J. Aaron Pendergrass, Nathan Hull, John Clemens, Sarah C. Helble, Mark Thober, Kathleen McGill, Machon Gregory, Peter A. Loscocco:
Runtime Detection of Userspace Implants. MILCOM 2019: 1-6 - [i4]J. Aaron Pendergrass, Nathan Hull, John Clemens, Sarah Helble, Mark Thober, Kathleen McGill, Machon Gregory, Peter A. Loscocco:
Technical Report: A Toolkit for Runtime Detection of Userspace Implants. CoRR abs/1904.12896 (2019) - 2018
- [c4]John Clemens
:
Learning Device Models with Recurrent Neural Networks. IJCNN 2018: 1-8 - [c3]John Clemens, Raj Pal, Branden Sherrell:
Runtime State Verification on Resource-Constrained Platforms. MILCOM 2018: 1-6 - [c2]J. Aaron Pcnderarass, Sarah Helble, John Clemens, Peter A. Loscocco:
A Platform Service for Remote Integrity Measurement and Attestation. MILCOM 2018: 1-6 - [i3]John Clemens:
Automatic Classification of Object Code Using Machine Learning. CoRR abs/1805.02146 (2018) - [i2]John Clemens:
Learning Device Models with Recurrent Neural Networks. CoRR abs/1805.07869 (2018) - 2017
- [i1]J. Aaron Pendergrass, Sarah Helble, John Clemens, Peter A. Loscocco:
Maat: A Platform Service for Measurement and Attestation. CoRR abs/1709.10147 (2017) - 2016
- [c1]John Clemens, Raj Pal, Paul Philip:
Poster Abstract: Extending Trust and Attestation to the Edge. SEC 2016: 101-102 - 2015
- [j1]John Clemens:
Automatic classification of object code using machine learning. Digit. Investig. 14 Supplement 1: S156-S162 (2015)
Coauthor Index
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