Attacking Binarized Neural Networks A Galloway, GW Taylor, M Moussa International Conference on Learning Representations (ICLR), 2018 | 119 | 2018 |
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 | 92 | 2019 |
Adversarial Training Versus Weight Decay A Galloway, T Tanay, GW Taylor arXiv preprint arXiv:1804.03308, 2018 | 17 | 2018 |
Predicting Adversarial Examples with High Confidence A Galloway, G W Taylor, M Moussa arXiv preprint arXiv:1802.04457, 2018 | 8 | 2018 |
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 | 8 | 2017 |
Monitoring shortcut learning using mutual information M Adnan, Y Ioannou, CY Tsai, A Galloway, HR Tizhoosh, GW Taylor arXiv preprint arXiv:2206.13034, 2022 | 5 | 2022 |
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 | 5 | 2022 |
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 | 4 | 2022 |
Adversarial Examples as an Input-Fault Tolerance Problem A Galloway, A Golubeva, GW Taylor NIPS Workshop on Security in Machine Learning, 2018 | 1 | 2018 |
Detecting Shortcuts using Mutual Information M Adnan, Y Ioannou, K Tsai, A Galloway, H Tizhoosh, RG Krishnan, ... | | 2023 |
A Rate-Distortion Theory of Adversarial Examples A Galloway, A Golubeva, GW Taylor | | 2018 |