Evaluating the impact of data placement to spark and SciDB with an Earth Science use case. - Khoa D. Doan; Amidu O. Oloso; Kwo-Sen Kuo; Thomas L. Clune; Hongfeng Yu 001; Brian Nelson; Jian Zhang (IEEE BigData, 2016)

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 001 (IGARSS, 2016)

Targeted display advertising: the case of preferential attachment. - Saurav Manchanda; Pranjul Yadav; Khoa D. Doan; S. Sathiya Keerthi (IEEE BigData, 2019)

Adversarial Factorization Autoencoder for Look-alike Modeling. - Khoa D. Doan; Pranjul Yadav; Chandan K. Reddy (CIKM, 2019)

An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. - Khoa D. Doan; Guolei Yang; Chandan K. Reddy (PAKDD (3), 2019)

Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. - Khoa D. Doan; Chandan K. Reddy (WWW, 2020)

Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. - Khoa D. Doan; Amir Kimiyaie; Saurav Manchanda; Chandan K. Reddy (CoRR, 2020)

Regression via Implicit Models and Optimal Transport Cost Minimization. - Saurav Manchanda; Khoa D. Doan; Pranjul Yadav; S. Sathiya Keerthi (CoRR, 2020)

Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. - Khoa D. Doan; Saurav Manchanda; Fengjiao Wang; S. Sathiya Keerthi; Avradeep Bhowmik; Chandan K. Reddy (CoRR, 2020)

LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. - Khoa D. Doan; Yingjie Lao; Weijie Zhao 001; Ping Li 001 (ICCV, 2021)

Backdoor Attack with Imperceptible Input and Latent Modification. - Khoa D. Doan; Yingjie Lao; Ping Li 001 (NeurIPS, 2021)

Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. - Khoa D. Doan; Saurav Manchanda; Suchismit Mahapatra; Chandan K. Reddy (SIGIR, 2021)

Generative models meet similarity search: efficient, heuristic-free and robust retrieval. - Khoa D. Doan (2021)

Unified Energy-Based Generative Network for Supervised Image Hashing. - Khoa D. Doan; Sarkhan Badirli; Chandan K. Reddy (ACCV (6), 2022)

One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. - Khoa D. Doan; Peng Yang 013; Ping Li 001 (CVPR, 2022)

Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. - Khoa D. Doan; Yingjie Lao; Ping Li 001 (NeurIPS, 2022)

CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. - Khoa D. Doan; Jianwen Xie; Yaxuan Zhu; Yang Zhao; Ping Li 001 (CoRR, 2022)

Defending Backdoor Attacks on Vision Transformer via Patch Processing. - Khoa D. Doan; Yingjie Lao; Peng Yang 013; Ping Li 001 (AAAI, 2023)

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 (ACML, 2023)

IBA: Towards Irreversible Backdoor Attacks in Federated Learning. - Thuy Dung Nguyen; Tuan Nguyen; Anh Tran 001; Khoa D. Doan; Kok-Seng Wong (NeurIPS, 2023)

Asymmetric Hashing for Fast Ranking via Neural Network Measures. - Khoa D. Doan; Shulong Tan; Weijie Zhao 001; Ping Li 001 (SIGIR, 2023)

A Cosine Similarity-based Method for Out-of-Distribution Detection. - Hieu Ngoc Nguyen; Nguyen Hung-Quang; The-Anh Ta; Thanh Nguyen-Tang; Khoa D. Doan; Hoang Thanh-Tung (CoRR, 2023)

Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack. - Sze Jue Yang; Quang H. Nguyen; Chee Seng Chan; Khoa D. Doan (CoRR, 2023)

Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. - Quang H. Nguyen; Yingjie Lao; Tung Pham; Kok-Seng Wong; Khoa D. Doan (CoRR, 2023)

Fooling the Textual Fooler via Randomizing Latent Representations. - Duy C. Hoang; Quang H. Nguyen; Saurav Manchanda; Minlong Peng; Kok-Seng Wong; Khoa D. Doan (CoRR, 2023)

Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models. - Sze Jue Yang; Chinh D. La; Quang H. Nguyen; Eugene Bagdasaryan; Kok-Seng Wong; Anh Tuan Tran 001; Chee Seng Chan; Khoa D. Doan (CoRR, 2023)

Fooling the Textual Fooler via Randomizing Latent Representations. - Duy C. Hoang; Nguyen Hung-Quang; Saurav Manchanda; Minlong Peng; Kok-Seng Wong; Khoa D. Doan (ACL (Findings), 2024)

Data Poisoning Quantization Backdoor Attack. - Tran Huynh; Anh Tran 001; Khoa D. Doan; Tung Pham (ECCV (84), 2024)

Flatness-Aware Sequential Learning Generates Resilient Backdoors. - Hoang Pham; The-Anh Ta; Anh Tran 001; Khoa D. Doan (ECCV (87), 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 (ICLR, 2024)

Composite Concept Extraction Through Backdooring. - Banibrata Ghosh; Haripriya Harikumar; Khoa D. Doan; Svetha Venkatesh; Santu Rana (ICPR (29), 2024)

Cold-start Recommendation by Personalized Embedding Region Elicitation. - Hieu Trung Nguyen; Duy Nguyen; Khoa D. Doan; Viet Anh Nguyen (UAI, 2024)

Forget but Recall: Incremental Latent Rectification in Continual Learning. - Nghia D. Nguyen; Hieu Trung Nguyen; Ang Li; Hoang Pham; Viet Anh Nguyen; Khoa D. Doan (CoRR, 2024)

Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning. - Son Nguyen; Thinh Nguyen; Khoa D. Doan; Kok-Seng Wong (CoRR, 2024)

Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape. - Tuan Nguyen; Dung Thuy Nguyen; Khoa D. Doan; Kok-Seng Wong (CoRR, 2024)

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. - Quang H. Nguyen; Nguyen Ngoc-Hieu; The-Anh Ta; Thanh Nguyen-Tang; Kok-Seng Wong; Hoang Thanh-Tung; Khoa D. Doan (CoRR, 2024)

MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs. - Quang H. Nguyen; Duy C. Hoang; Juliette Decugis; Saurav Manchanda; Nitesh V. Chawla; Khoa D. Doan (CoRR, 2024)

Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator. - Thinh Nguyen; Khoa D. Doan; Binh T. Nguyen 001; Danh Le Phuoc; Kok-Seng Wong (CoRR, 2024)

Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. - Duy C. Hoang; Hung T. Q. Le; Rui Chu; Ping Li 001; Weijie Zhao 001; Yingjie Lao; Khoa D. Doan (CoRR, 2024)

Towards Clean-Label Backdoor Attacks in the Physical World. - Thinh Dao; Cuong Chi Le; Khoa D. Doan; Kok-Seng Wong (CoRR, 2024)

Unveiling Concept Attribution in Diffusion Models. - Quang H. Nguyen; Hoang Phan; Khoa D. Doan (CoRR, 2024)

Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. - Thuy Dung Nguyen; Tuan Nguyen; Phi Le Nguyen; Hieu H. Pham 001; Khoa D. Doan; Kok-Seng Wong (Eng. Appl. Artif. Intell., 2024)

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 (ICLR, 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 (CoRR, 2025)

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation. - Duy A. Nguyen; Quan Huu Do; Khoa D. Doan; Minh N. Do (CoRR, 2025)

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling. - Phuc Minh Nguyen; Ngoc-Hieu Nguyen; Duy H. M. Nguyen; Anji Liu; An Mai; Binh T. Nguyen 001; Daniel Sonntag; Khoa D. Doan (CoRR, 2025)

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning. - Thinh Dao; Dung Thuy Nguyen; Khoa D. Doan; Kok-Seng Wong (CoRR, 2025)

FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning. - Tuan Nguyen; Khoa D. Doan; Kok-Seng Wong (CoRR, 2025)

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation. - Thinh Nguyen; Trung Phan; Binh T. Nguyen 001; Khoa D. Doan; Kok-Seng Wong (CoRR, 2025)

pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork. - Thinh Nguyen; Le Huy Khiem; Van-Tuan Tran; Khoa D. Doan; Nitesh V. Chawla; Kok-Seng Wong (CoRR, 2025)