Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects MA Alcorn, Q Li, Z Gong, C Wang, L Mai, WS Ku, A Nguyen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 336 | 2019 |
Adversarial and clean data are not twins Z Gong, W Wang Proceedings of the sixth international workshop on exploiting artificial …, 2023 | 332 | 2023 |
Adversarial texts with gradient methods Z Gong, W Wang, B Li, D Song, WS Ku arXiv preprint arXiv:1801.07175, 2018 | 84 | 2018 |
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. In 2019 IEEE MA Alcorn, Q Li, Z Gong, C Wang, L Mai, WS Ku, A Nguyen CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4840-4849, 2019 | 23 | 2019 |
Adversarial and clean data are not twins. arXiv 2017 Z Gong, W Wang, WS Ku arXiv preprint arXiv:1704.04960, 0 | 8 | |
On location privacy in fingerprinting-based indoor positioning system: An encryption approach W Wang, Z Gong, J Zhang, H Lu, WS Ku Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 7 | 2019 |
An improved English to Chinese translation of technical text X Zhang, S Tao, Z Gong, B Wu, R Wang, BM Wilamowski 2015 IEEE 19th International Conference on Intelligent Engineering Systems …, 2015 | 4 | 2015 |
Adversarial and clean data are not twins (2017) Z Gong, W Wang, WS Ku Preprint. arXiv 1704, 0 | 4 | |
RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques B Hui, W Wang, J Yu, Z Gong, WS Ku, MT Sun, H Lu arXiv preprint arXiv:2204.00747, 2022 | 1 | 2022 |
On the Machine Illusion Z Gong Auburn University, 2019 | | 2019 |
RFID data cleansing with Bayesian Filters Z Gong Auburn University, 2017 | | 2017 |
An Examination of Engineering Parts in Large CAD-Databases in Order to Create Adjacency Matrices X Zhang, S Tao, Z Gong, B Wu, R Wang, BM Wilamowski | | |