Kevin Eykholt

Orcid: 0000-0002-7040-1657

According to our database¹, Kevin Eykholt authored at least 27 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

A Study of the Effects of Transfer Learning on Adversarial Robustness.

[BibT_eX]

[DOI]

Pratik Vaishnavi

Kevin Eykholt

Amir Rahmati

Trans. Mach. Learn. Res., 2024

Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

URET: Universal Robustness Evaluation Toolkit (for Evasion).

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Security and Privacy Workshops (SPW), 2023

EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the 26th International Symposium on Research in Attacks, 2023

2022

Transferring Adversarial Robustness Through Robust Representation Matching.

[BibT_eX]

[DOI]

Pratik Vaishnavi

Kevin Eykholt

Amir Rahmati

Proceedings of the 31st USENIX Security Symposium, 2022

Ares: A System-Oriented Wargame Framework for Adversarial ML.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Security and Privacy, 2022

Accelerating Certified Robustness Training via Knowledge Transfer.

[BibT_eX]

[DOI]

Pratik Vaishnavi

Kevin Eykholt

Amir Rahmati

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.

[BibT_eX]

[DOI]

CoRR, 2021

Separation of Powers in Federated Learning (Poster Paper).

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms.

[BibT_eX]

[DOI]

Kevin Eykholt

PhD thesis, 2019

Can Attention Masks Improve Adversarial Robustness?

[BibT_eX]

[DOI]

CoRR, 2019

Transferable Adversarial Robustness using Adversarially Trained Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Classification using Robust Feature Augmentation.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Designing Adversarially Resilient Classifiers using Resilient Feature Engineering.

[BibT_eX]

[DOI]

Kevin Eykholt

Atul Prakash

CoRR, 2018

Tyche: Risk-Based Permissions for Smart Home Platforms.

[BibT_eX]

[DOI]

CoRR, 2018

Physical Adversarial Examples for Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the 12th USENIX Workshop on Offensive Technologies, 2018

Tyche: A Risk-Based Permission Model for Smart Homes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Cybersecurity Development, SecDev 2018, Cambridge, MA, USA, 2018

Robust Physical-World Attacks on Deep Learning Visual Classification.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2017

Note on Attacking Object Detectors with Adversarial Stickers.

[BibT_eX]

[DOI]

CoRR, 2017

Robust Physical-World Attacks on Machine Learning Models.

[BibT_eX]

[DOI]

CoRR, 2017

Ensuring Authorized Updates in Multi-user Database-Backed Applications.

[BibT_eX]

[DOI]

Kevin Eykholt

Atul Prakash

Barzan Mozafari

Proceedings of the 26th USENIX Security Symposium, 2017

Heimdall: A Privacy-Respecting Implicit Preference Collection Framework.

[BibT_eX]

[DOI]

Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

2013

A Matlab toolbox for visualization of image manifolds.

[BibT_eX]

[DOI]

Kevin Eykholt

Marco F. Duarte

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Kevin Eykholt

Timeline

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On csauthors.net:

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