Doan, Khoa D.

16 publications

TMLR 2026 Retrospective Feature Estimation for Continual Learning Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D Doan

NeurIPS 2025 How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? Tuan Anh Tran, Duy Minh Ho Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D Doan, Roger Wattenhofer, Vien Anh Ngo, Mathias Niepert, Daniel Sonntag, Paul Swoboda

ICML 2025 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

NeurIPS 2025 Mitigating Reward Over-Optimization in Direct Alignment Algorithms with Importance Sampling Nguyen Minh Phuc, Ngoc-Hieu Nguyen, Duy Minh Ho Nguyen, Anji Liu, An Mai, Binh T. Nguyen, Daniel Sonntag, Khoa D Doan

ICLRW 2025 SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality Duy Cao Hoang, Thanh Quoc Hung Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D Doan

ICLRW 2025 Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models Sze Jue Yang, Chinh Duc La, Quang H Nguyen, Eugene Bagdasarian, Kok-Seng Wong, Anh Tuan Tran, Chee Seng Chan, Khoa D Doan

NeurIPS 2025 Unveiling Concept Attribution in Diffusion Models Quang H Nguyen, Hoang Phan, Khoa D Doan

ICLR 2025 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

ECCV 2024 Flatness-Aware Sequential Learning Generates Resilient Backdoors Hoang Pham, The-Anh Ta, Anh T Tran, Khoa D Doan

ICLR 2024 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

NeurIPSW 2023 Clean-Label Backdoor Attacks by Selectively Poisoning with Limited Information from Target Class Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Hoang Thanh-Tung, Khoa D Doan

AAAI 2023 Defending Backdoor Attacks on Vision Transformer via Patch Processing Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li

ACML 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness Thai-Hung Nguyen, Hong-Phuc Vu, Dung Thuy Nguyen, Tuan Minh Nguyen, Khoa D Doan, Kok-Seng Wong

NeurIPS 2023 IBA: Towards Irreversible Backdoor Attacks in Federated Learning Thuy Dung Nguyen, Tuan A Nguyen, Anh Tran, Khoa D Doan, Kok-Seng Wong

NeurIPS 2022 Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D Doan, Yingjie Lao, Ping Li

CVPR 2022 One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching Khoa D. Doan, Peng Yang, Ping Li