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Zhitao Gong
Zhitao Gong
DeepMind
Geverifieerd e-mailadres voor auburn.edu - Homepage
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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
3222019
Adversarial and clean data are not twins
Z Gong, W Wang
Proceedings of the Sixth International Workshop on Exploiting Artificial …, 2023
3212023
Adversarial texts with gradient methods
Z Gong, W Wang, B Li, D Song, WS Ku
arXiv preprint arXiv:1801.07175, 2018
832018
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
232019
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
52019
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
52015
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
12022
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
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Artikelen 1–12