| 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 | 297 | 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 | 156 | 2021 |
| Gradient boosting neural networks: Grownet S Badirli, X Liu, Z Xing, A Bhowmik, K Doan, SS Keerthi arXiv preprint arXiv:2002.07971, 2020 | 114 | 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 | 60 | 2022 |
| 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 | 59 | 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, 66364-66376, 2023 | 41 | 2023 |
| Marksman backdoor: Backdoor attacks with arbitrary target class KD Doan, Y Lao, P Li Advances in Neural Information Processing Systems 35, 38260-38273, 2022 | 39 | 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 | 39 | 2021 |
| Efficient implicit unsupervised text hashing using adversarial autoencoder KD Doan, CK Reddy Proceedings of the Web Conference 2020, 684-694, 2020 | 33* | 2020 |
| 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 | 32 | 2023 |
| Adversarial factorization autoencoder for look-alike modeling KD Doan, P Yadav, CK Reddy Proceedings of the 28th ACM International Conference on Information and …, 2019 | 24 | 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 | 21 | 2019 |
| 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 | 14 | 2016 |
| Label-smoothed backdoor attack M Peng, Z Xiong, M Sun, P Li arXiv e-prints, arXiv: 2202.11203, 2022 | 9 | 2022 |
| 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 | 9 | 2020 |
| Image hashing by minimizing discrete component-wise wasserstein distance KD Doan, S Manchanda, S Badirli, CK Reddy arXiv preprint arXiv:2003.00134, 2020 | 8* | 2020 |
| MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs QH Nguyen, DC Hoang, J Decugis, S Manchanda, NV Chawla, KD Doan arXiv preprint arXiv:2407.10834, 2024 | 5 | 2024 |
| 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 | 5 | 2016 |
| Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality DC Hoang, HTQ Le, R Chu, P Li, W Zhao, Y Lao, KD Doan arXiv preprint arXiv:2407.13803, 2024 | 3 | 2024 |
| Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks N Hung-Quang, Y Lao, T Pham, KS Wong, KD Doan The Twelfth International Conference on Learning Representations, 2024 | 3* | 2024 |
Yingjie LaoTufts UniversityVerified email at tufts.edu
