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ORCIDKhoa D. Doan
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2020 – today
- 2024
[j1]Thuy Dung Nguyen
, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong:
Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. Eng. Appl. Artif. Intell. 127(Part A): 107166 (2024)- [c21]Duy C. Hoang, Nguyen Hung-Quang, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan:
Fooling the Textual Fooler via Randomizing Latent Representations. ACL (Findings) 2024: 14403-14421 - [c20]Tran Huynh, Anh Tran, Khoa D. Doan, Tung Pham:
Data Poisoning Quantization Backdoor Attack. ECCV (84) 2024: 38-54 - [c19]Hoang Pham, The-Anh Ta, Anh Tran, Khoa D. Doan:
Flatness-Aware Sequential Learning Generates Resilient Backdoors. ECCV (87) 2024: 89-107 - [c18]Nguyen Hung-Quang, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan:
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. ICLR 2024 - [c17]Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana:
Composite Concept Extraction Through Backdooring. ICPR (29) 2024: 276-290 - [i26]Hieu Trung Nguyen, Duy Nguyen, Khoa D. Doan, Viet Anh Nguyen:
Cold-start Recommendation by Personalized Embedding Region Elicitation. CoRR abs/2406.00973 (2024) - [i25]Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana:
Composite Concept Extraction through Backdooring. CoRR abs/2406.13411 (2024) - [i24]Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D. Doan:
Forget but Recall: Incremental Latent Rectification in Continual Learning. CoRR abs/2406.17381 (2024) - [i23]Son Nguyen, Thinh Nguyen, Khoa D. Doan, Kok-Seng Wong:
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning. CoRR abs/2407.03144 (2024) - [i22]Tuan Nguyen, Dung Thuy Nguyen, Khoa D. Doan, Kok-Seng Wong:
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape. CoRR abs/2407.07917 (2024) - [i21]Quang H. Nguyen, Nguyen Ngoc-Hieu, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan:
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. CoRR abs/2407.10825 (2024) - [i20]Quang H. Nguyen, Duy C. Hoang, Juliette Decugis, Saurav Manchanda, Nitesh V. Chawla, Khoa D. Doan:
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs. CoRR abs/2407.10834 (2024) - [i19]Thinh Nguyen, Khoa D. Doan, Binh T. Nguyen, Danh Le Phuoc, Kok-Seng Wong:
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator. CoRR abs/2407.11078 (2024) - [i18]Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan:
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. CoRR abs/2407.13803 (2024) - [i17]Hoang Pham, The-Anh Ta, Anh Tran, Khoa D. Doan:
Flatness-aware Sequential Learning Generates Resilient Backdoors. CoRR abs/2407.14738 (2024) - [i16]Thinh Dao, Cuong Chi Le, Khoa D. Doan, Kok-Seng Wong:
Towards Clean-Label Backdoor Attacks in the Physical World. CoRR abs/2407.19203 (2024) - 2023
- [c16]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI 2023: 506-515 - [c15]Thai-Hung Nguyen, Hong-Phuc Vu, Thuy Dung Nguyen, Tuan Minh Nguyen, Khoa D. Doan, Kok-Seng Wong:
Empirical Study of Federated Unlearning: Efficiency and Effectiveness. ACML 2023: 959-974 - [c14]Thuy Dung Nguyen, Tuan Nguyen, Anh Tran, Khoa D. Doan, Kok-Seng Wong:
IBA: Towards Irreversible Backdoor Attacks in Federated Learning. NeurIPS 2023 - [c13]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR 2023: 697-707 - [i15]Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong:
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions. CoRR abs/2303.02213 (2023) - [i14]Hieu Ngoc Nguyen, Nguyen Hung-Quang, The-Anh Ta, Thanh Nguyen-Tang, Khoa D. Doan, Hoang Thanh-Tung:
A Cosine Similarity-based Method for Out-of-Distribution Detection. CoRR abs/2306.14920 (2023) - [i13]Sze Jue Yang, Quang H. Nguyen, Chee Seng Chan, Khoa D. Doan:
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack. CoRR abs/2308.16684 (2023) - [i12]Quang H. Nguyen, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan:
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. CoRR abs/2310.00567 (2023) - [i11]Duy C. Hoang, Quang H. Nguyen, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan:
Fooling the Textual Fooler via Randomizing Latent Representations. CoRR abs/2310.01452 (2023) - [i10]Sze Jue Yang, Chinh D. La, Quang H. Nguyen, Eugene Bagdasaryan, Kok-Seng Wong, Anh Tuan Tran, Chee Seng Chan, Khoa D. Doan:
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models. CoRR abs/2312.03419 (2023) - 2022
- [c12]Khoa D. Doan, Sarkhan Badirli, Chandan K. Reddy:
Unified Energy-Based Generative Network for Supervised Image Hashing. ACCV (6) 2022: 527-543 - [c11]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CVPR 2022: 9437-9447 - [c10]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. NeurIPS 2022 - [i9]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CoRR abs/2205.15721 (2022) - [i8]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR abs/2206.12381 (2022) - [i7]Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li:
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR abs/2210.04288 (2022) - [i6]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. CoRR abs/2210.09194 (2022) - [i5]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. CoRR abs/2211.00619 (2022) - 2021
- [b1]Khoa D. Doan:
Generative models meet similarity search: efficient, heuristic-free and robust retrieval. Virginia Tech, Blacksburg, VA, USA, 2021 - [c9]Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li:
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV 2021: 11946-11956 - [c8]Khoa D. Doan, Yingjie Lao, Ping Li:
Backdoor Attack with Imperceptible Input and Latent Modification. NeurIPS 2021: 18944-18957 - [c7]Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy:
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. SIGIR 2021: 665-674 - 2020
- [c6]Khoa D. Doan, Chandan K. Reddy:
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. WWW 2020: 684-694 - [i4]Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi:
Targeted display advertising: the case of preferential attachment. CoRR abs/2002.02879 (2020) - [i3]Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy:
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. CoRR abs/2003.00134 (2020) - [i2]Saurav Manchanda, Khoa D. Doan, Pranjul Yadav, S. Sathiya Keerthi:
Regression via Implicit Models and Optimal Transport Cost Minimization. CoRR abs/2003.01296 (2020) - [i1]Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy:
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. CoRR abs/2003.11774 (2020)
2010 – 2019
- 2019
- [c5]Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi:
Targeted display advertising: the case of preferential attachment. IEEE BigData 2019: 1868-1877 - [c4]Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy:
Adversarial Factorization Autoencoder for Look-alike Modeling. CIKM 2019: 2803-2812 - [c3]Khoa D. Doan, Guolei Yang, Chandan K. Reddy:
An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. PAKDD (3) 2019: 346-358 - 2016
- [c2]Khoa D. Doan, Amidu O. Oloso, Kwo-Sen Kuo, Thomas L. Clune, Hongfeng Yu, Brian Nelson, Jian Zhang:
Evaluating the impact of data placement to spark and SciDB with an Earth Science use case. IEEE BigData 2016: 341-346 - [c1]Kwo-Sen Kuo, Amidu Oloso, Khoa D. Doan, Thomas L. Clune, Hongfeng Yu:
Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences. IGARSS 2016: 7605-7607
Coauthor Index
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last updated on 2024-12-13 20:07 CET by the dblp team
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