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Todd Huster
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 10
Top Topics
Face Recognition Systems
Neural Network
Hilbert Space
Heavy Tailed Distributions
Top Venues
CoRR
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
ICML
DSN
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Publications
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Shehzeen Hussain
,
Todd Huster
,
Chris Mesterharm
,
Paarth Neekhara
,
Farinaz Koushanfar
ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems.
DSN
(2023)
Shehzeen Hussain
,
Todd Huster
,
Chris Mesterharm
,
Paarth Neekhara
,
Kevin An
,
Malhar Jere
,
Harshvardhan Sikka
,
Farinaz Koushanfar
ReFace: Real-time Adversarial Attacks on Face Recognition Systems.
CoRR
(2022)
Richard Lau
,
Lihan Yao
,
Todd Huster
,
William Johnson
,
Stephen Arleth
,
Justin Wong
,
Devin Ridge
,
Michael Fletcher
,
William C. Headley
Scaled-Time-Attention Robust Edge Network.
CoRR
(2021)
Todd Huster
,
Jeremy E. J. Cohen
,
Zinan Lin
,
Kevin Chan
,
Charles A. Kamhoua
,
Nandi Leslie
,
Cho-Yu Jason Chiang
,
Vyas Sekar
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions.
CoRR
(2021)
Todd Huster
,
Jeremy E. J. Cohen
,
Zinan Lin
,
Kevin Chan
,
Charles A. Kamhoua
,
Nandi O. Leslie
,
Cho-Yu Jason Chiang
,
Vyas Sekar
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions.
ICML
(2021)
Todd Huster
,
Emmanuel Ekwedike
TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation.
CoRR
(2021)
Sanjai Narain
,
Emily Mak
,
Dana Chee
,
Todd Huster
,
Jeremy E. J. Cohen
,
Kishore Pochiraju
,
Brendan J. Englot
,
Niraj K. Jha
,
Karthik Narayan
Robot Design With Neural Networks, MILP Solvers and Active Learning.
CoRR
(2020)
Jeremy E. J. Cohen
,
Todd Huster
,
Ra Cohen
Universal Lipschitz Approximation in Bounded Depth Neural Networks.
CoRR
(2019)
Todd Huster
,
Cho-Yu Jason Chiang
,
Ritu Chadha
Limitations of the Lipschitz Constant as a Defense Against Adversarial Examples.
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
(2018)
Todd Huster
,
Cho-Yu Jason Chiang
,
Ritu Chadha
Limitations of the Lipschitz constant as a defense against adversarial examples.
CoRR
(2018)