Kristin Barber

Orcid: 0000-0001-6184-9954

According to our database1, Kristin Barber authored at least 9 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
TEESec: Pre-Silicon Vulnerability Discovery for Trusted Execution Environments.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning.
CoRR, 2022

A Pre-Silicon Approach to Discovering Microarchitectural Vulnerabilities in Security Critical Applications.
IEEE Comput. Archit. Lett., 2022

2021
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks.
CoRR, 2021

INTROSPECTRE: A Pre-Silicon Framework for Discovery and Analysis of Transient Execution Vulnerabilities.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Using Undervolting as an on-Device Defense Against Adversarial Machine Learning Attacks.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

2019
Isolating Speculative Data to Prevent Transient Execution Attacks.
IEEE Comput. Archit. Lett., 2019

SpecShield: Shielding Speculative Data from Microarchitectural Covert Channels.
Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2016
Core tunneling: Variation-aware voltage noise mitigation in GPUs.
Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016


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