Kevin Eykholt

Orcid: 0000-0002-7040-1657

According to our database1, Kevin Eykholt authored at least 25 papers between 2013 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023
URET: Universal Robustness Evaluation Toolkit (for Evasion).
Proceedings of the 32nd USENIX Security Symposium, 2023

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models.
Proceedings of the 2023 IEEE Security and Privacy Workshops (SPW), 2023

EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection.
Proceedings of the 26th International Symposium on Research in Attacks, 2023

2022
Transferring Adversarial Robustness Through Robust Representation Matching.
Proceedings of the 31st USENIX Security Symposium, 2022

Ares: A System-Oriented Wargame Framework for Adversarial ML.
Proceedings of the 43rd IEEE Security and Privacy, 2022

Accelerating Certified Robustness Training via Knowledge Transfer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Separation of Powers in Federated Learning.
CoRR, 2021

Separation of Powers in Federated Learning (Poster Paper).
Proceedings of the ResilientFL '21: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, 2021

Adaptive Verifiable Training Using Pairwise Class Similarity.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms.
PhD thesis, 2019

Can Attention Masks Improve Adversarial Robustness?
CoRR, 2019

Transferable Adversarial Robustness using Adversarially Trained Autoencoders.
CoRR, 2019

Robust Classification using Robust Feature Augmentation.
CoRR, 2019

2018
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering.
CoRR, 2018

Tyche: Risk-Based Permissions for Smart Home Platforms.
CoRR, 2018

Physical Adversarial Examples for Object Detectors.
Proceedings of the 12th USENIX Workshop on Offensive Technologies, 2018

Tyche: A Risk-Based Permission Model for Smart Homes.
Proceedings of the 2018 IEEE Cybersecurity Development, SecDev 2018, Cambridge, MA, USA, 2018

Robust Physical-World Attacks on Deep Learning Visual Classification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges?
IEEE Secur. Priv., 2017

Note on Attacking Object Detectors with Adversarial Stickers.
CoRR, 2017

Robust Physical-World Attacks on Machine Learning Models.
CoRR, 2017

Ensuring Authorized Updates in Multi-user Database-Backed Applications.
Proceedings of the 26th USENIX Security Symposium, 2017

Heimdall: A Privacy-Respecting Implicit Preference Collection Framework.
Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

2013
A Matlab toolbox for visualization of image manifolds.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013


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