| 2026 | AAAI | Clean-Label Physical Backdoor Attacks with Data Distillation. | Thinh Dao, Khoa D. Doan, Kok-Seng Wong |
| 2026 | EACL | SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality. | Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan |
| 2025 | ICLR | Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. | Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan |
| 2025 | ICML | LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. | Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy |
| 2024 | ACL | Fooling the Textual Fooler via Randomizing Latent Representations. | Duy C. Hoang, Nguyen Hung-Quang, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan |
| 2024 | ECCV | Data Poisoning Quantization Backdoor Attack. | Tran Huynh, Anh Tran, Khoa D. Doan, Tung Pham |
| 2024 | ECCV | Flatness-Aware Sequential Learning Generates Resilient Backdoors. | Hoang Pham, The-Anh Ta, Anh Tran, Khoa D. Doan |
| 2024 | ICLR | Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. | Nguyen Hung-Quang, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan |
| 2024 | ICPR | Composite Concept Extraction Through Backdooring. | Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana |
| 2024 | UAI | Cold-start Recommendation by Personalized Embedding Region Elicitation. | Hieu Trung Nguyen, Duy Nguyen, Khoa D. Doan, Viet Anh Nguyen |
| 2023 | AAAI | Defending Backdoor Attacks on Vision Transformer via Patch Processing. | Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li |
| 2023 | ACML | Empirical Study of Federated Unlearning: Efficiency and Effectiveness. | Thai-Hung Nguyen, Hong-Phuc Vu, Thuy Dung Nguyen, Tuan Minh Nguyen, Khoa D. Doan, Kok-Seng Wong |
| 2023 | SIGIR | Asymmetric Hashing for Fast Ranking via Neural Network Measures. | Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li |
| 2022 | ACCV | Unified Energy-Based Generative Network for Supervised Image Hashing. | Khoa D. Doan, Sarkhan Badirli, Chandan K. Reddy |
| 2022 | CVPR | One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. | Khoa D. Doan, Peng Yang, Ping Li |
| 2021 | ICCV | LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. | Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li |
| 2021 | SIGIR | Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. | Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy |
| 2020 | WWW | Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. | Khoa D. Doan, Chandan K. Reddy |
| 2019 | CIKM | Adversarial Factorization Autoencoder for Look-alike Modeling. | Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy |
| 2019 | PAKDD | An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. | Khoa D. Doan, Guolei Yang, Chandan K. Reddy |
| 2016 | IGARSS | Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences. | Kwo-Sen Kuo, Amidu Oloso, Khoa D. Doan, Thomas L. Clune, Hongfeng Yu |