Khoa Doan
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Lira: Learnable, imperceptible and robust backdoor attacks
K Doan, Y Lao, W Zhao, P Li
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Backdoor attack with imperceptible input and latent modification
K Doan, Y Lao, P Li
Advances in Neural Information Processing Systems 34, 18944-18957, 2021
Gradient boosting neural networks: Grownet
S Badirli, X Liu, Z Xing, A Bhowmik, K Doan, SS Keerthi
arXiv preprint arXiv:2002.07971, 2020
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
D Khoa D, P Yang, P Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Efficient implicit unsupervised text hashing using adversarial autoencoder
KD Doan, CK Reddy
Proceedings of The Web Conference 2020, 684-694, 2020
Marksman backdoor: Backdoor attacks with arbitrary target class
KD Doan, Y Lao, P Li
Advances in Neural Information Processing Systems 35, 38260-38273, 2022
Interpretable graph similarity computation via differentiable optimal alignment of node embeddings
KD Doan, S Manchanda, S Mahapatra, CK Reddy
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
Adversarial factorization autoencoder for look-alike modeling
KD Doan, P Yadav, CK Reddy
Proceedings of the 28th ACM International Conference on Information and …, 2019
An attentive spatio-temporal neural model for successive point of interest recommendation
KD Doan, G Yang, CK Reddy
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019
Defending backdoor attacks on vision transformer via patch processing
KD Doan, Y Lao, P Yang, P Li
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 506-515, 2023
Evaluating the impact of data placement to spark and SciDB with an Earth Science use case
K Doan, AO Oloso, KS Kuo, TL Clune, H Yu, B Nelson, J Zhang
2016 IEEE International Conference on Big Data (Big Data), 341-346, 2016
Image Generation Via Minimizing Fr\'echet Distance in Discriminator Feature Space
KD Doan, S Manchanda, F Wang, S Keerthi, A Bhowmik, CK Reddy
arXiv preprint arXiv:2003.11774, 2020
Image hashing by minimizing discrete component-wise wasserstein distance
KD Doan, S Manchanda, S Badirli, CK Reddy
arXiv preprint arXiv:2003.00134, 2020
Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions
TD Nguyen, T Nguyen, P Le Nguyen, HH Pham, KD Doan, KS Wong
Engineering Applications of Artificial Intelligence 127, 107166, 2024
Iba: Towards irreversible backdoor attacks in federated learning
TD Nguyen, TA Nguyen, A Tran, KD Doan, KS Wong
Advances in Neural Information Processing Systems 36, 2024
Regression via implicit models and optimal transport cost minimization
S Manchanda, K Doan, P Yadav, SS Keerthi
arXiv preprint arXiv:2003.01296, 2020
Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences
KS Kuo, A Oloso, K Doan, TL Clune, H Yu
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
Performance comparison of Big-Data technologies in locating intersections in satellite ground tracks
K Doan, A Oloso, KS Kuo, TL Clune, LLC Bayesics
BigData 2014: The Fourth ASE International Conference on Big Data, 14-16, 2014
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing
KD Doan, J Xie, Y Zhu, Y Zhao, P Li
arXiv preprint arXiv:2210.04288, 2022
Targeted display advertising: the case of preferential attachment
S Manchanda, P Yadav, K Doan, SS Keerthi
2019 IEEE International Conference on Big Data (Big Data), 1868-1877, 2019
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