Fooling neural network interpretations via adversarial model manipulation J Heo, S Joo, T Moon Advances in neural information processing systems 32, 2019 | 225 | 2019 |
Subtask gated networks for non-intrusive load monitoring C Shin, S Joo, J Yim, H Lee, T Moon, W Rhee Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1150-1157, 2019 | 119 | 2019 |
Swift: Swin 4d fmri transformer P Kim, J Kwon, S Joo, S Bae, D Lee, Y Jung, S Yoo, J Cha, T Moon Advances in Neural Information Processing Systems 36, 42015-42037, 2023 | 7 | 2023 |
DoPAMINE: Double-sided masked CNN for pixel adaptive multiplicative noise despeckling S Joo, S Cha, T Moon Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4031-4038, 2019 | 6 | 2019 |
Towards more robust interpretation via local gradient alignment S Joo, S Jeong, J Heo, A Weller, T Moon Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8168-8176, 2023 | 4 | 2023 |
SwiFT: Swin 4D fMRI Transformer P Yongho Kim, J Kwon, S Joo, S Bae, D Lee, Y Jung, S Yoo, J Cha, ... arXiv e-prints, arXiv: 2307.05916, 2023 | | 2023 |
Supplementary Material for Fooling Neural Network Interpretations via Adversarial Model Manipulation J Heo, S Joo, T Moon | | |