Todd Huster

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

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Bibliography

2023
ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems.
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.
CoRR, 2022

2021
Scaled-Time-Attention Robust Edge Network.
CoRR, 2021

TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation.
CoRR, 2021

Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Robot Design With Neural Networks, MILP Solvers and Active Learning.
CoRR, 2020

2019
Universal Lipschitz Approximation in Bounded Depth Neural Networks.
CoRR, 2019

2018
Limitations of the Lipschitz Constant as a Defense Against Adversarial Examples.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Towards the Development of Robust Deep Neural Networks in Adversarial Settings.
Proceedings of the 2018 IEEE Military Communications Conference, 2018


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