Recent advances in adversarial training for adversarial robustness T Bai, J Luo, J Zhao, B Wen, Q Wang Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 353 | 2021 |
ActivityGAN: generative adversarial networks for data augmentation in sensor-based human activity recognition X Li*, J Luo*, R Younes Adjunct Proceedings of the 2020 ACM International Joint Conference on …, 2020 | 48 | 2020 |
Inconspicuous adversarial patches for fooling image-recognition systems on mobile devices T Bai, J Luo, J Zhao IEEE Internet of Things Journal 9 (12), 9515-9524, 2021 | 20 | 2021 |
Recent advances in understanding adversarial robustness of deep neural networks T Bai, J Luo, J Zhao | 12 | 2020 |
Generating adversarial yet inconspicuous patches with a single image (abstract) J Luo, T Bai, J Zhao Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15837 …, 2021 | 11 | 2021 |
Zero-Shot Model Diagnosis J Luo, Z Wang, CH Wu, D Huang, F De la Torre Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
Toward data augmentation and interpretation in sensor-based fine-grained hand activity recognition J Luo, X Li, R Younes Deep Learning for Human Activity Recognition: Second International Workshop …, 2021 | 4 | 2021 |
Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis J Luo, KHR Chan, D Dimos, R Vidal arXiv preprint arXiv:2311.17898, 2023 | 1 | 2023 |
Semantic image attack for visual model diagnosis J Luo, Z Wang, CH Wu, D Huang, F De la Torre arXiv preprint arXiv:2303.13010, 2023 | 1 | 2023 |
Vision Model Diagnosis: A Generative Perspective J Luo Carnegie Mellon University, 2023 | | 2023 |
OpenMMD: When OpenPose meets MikuMikuDance J Luo https://github.com/peterljq/OpenMMD, 2018 | | 2018 |