Todd Huster

According to our database¹, Todd Huster authored at least 9 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Bibliography

2023

ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

ReFace: Real-time Adversarial Attacks on Face Recognition Systems.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Scaled-Time-Attention Robust Edge Network.

[BibT_eX]

[DOI]

CoRR, 2021

TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation.

[BibT_eX]

[DOI]

Todd Huster

Emmanuel Ekwedike

CoRR, 2021

Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Robot Design With Neural Networks, MILP Solvers and Active Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Universal Lipschitz Approximation in Bounded Depth Neural Networks.

[BibT_eX]

[DOI]

Jeremy E. J. Cohen

Todd Huster

Ra Cohen

CoRR, 2019

2018

Limitations of the Lipschitz Constant as a Defense Against Adversarial Examples.

[BibT_eX]

[DOI]

Todd Huster

Cho-Yu Jason Chiang

Ritu Chadha

Proceedings of the ECML PKDD 2018 Workshops, 2018

Towards the Development of Robust Deep Neural Networks in Adversarial Settings.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Todd Huster

Timeline

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