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Angus Galloway
Angus Galloway
University of Guelph, Engineering Technologies Canada
Verified email at uoguelph.ca - Homepage
Title
Cited by
Cited by
Year
Attacking Binarized Neural Networks
A Galloway, GW Taylor, M Moussa
International Conference on Learning Representations (ICLR), 2018
1252018
Batch Normalization is a Cause of Adversarial Vulnerability
A Galloway, A Golubeva, T Tanay, M Moussa, GW Taylor
ICML Workshop on Identifying and Understanding Deep Learning Phenomena, 2019
962019
Adversarial Training Versus Weight Decay
A Galloway, T Tanay, GW Taylor
arXiv preprint arXiv:1804.03308, 2018
202018
Predicting Adversarial Examples with High Confidence
A Galloway, G W Taylor, M Moussa
arXiv preprint arXiv:1802.04457, 2018
102018
The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment
A Galloway, GW Taylor, A Ramsay, M Moussa
Computer and Robot Vision (CRV), 2017 14th Conference on, 361-366, 2017
102017
Monitoring shortcut learning using mutual information
M Adnan, Y Ioannou, CY Tsai, A Galloway, HR Tizhoosh, GW Taylor
arXiv preprint arXiv:2206.13034, 2022
72022
Bounding generalization error with input compression: An empirical study with infinite-width networks
A Galloway, A Golubeva, M Salem, M Nica, Y Ioannou, GW Taylor
Transactions on Machine Learning Research, 2022
62022
Predicting dreissenid mussel abundance in nearshore waters using underwater imagery and deep learning
A Galloway, D Brunet, R Valipour, M McCusker, J Biberhofer, MK Sobol, ...
Limnology and Oceanography: Methods 20 (4), 233-248, 2022
62022
Adversarial Examples as an Input-Fault Tolerance Problem
A Galloway, A Golubeva, GW Taylor
NIPS Workshop on Security in Machine Learning, 2018
12018
Detecting Shortcuts using Mutual Information
M Adnan, Y Ioannou, K Tsai, A Galloway, H Tizhoosh, RG Krishnan, ...
1
A Rate-Distortion Theory of Adversarial Examples
A Galloway, A Golubeva, GW Taylor
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Articles 1–11