Khoa D. Doan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 36

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Top Venues

Publications

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 (2024)
Hoang Pham, The-Anh Ta, Anh Tran, Khoa D. Doan
Flatness-aware Sequential Learning Generates Resilient Backdoors. CoRR (2024)
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 (2024)
Son Nguyen, Thinh Nguyen, Khoa D. Doan, Kok-Seng Wong
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning. CoRR (2024)
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)
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 (2024)
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) (2024)
Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana
Composite Concept Extraction through Backdooring. CoRR (2024)
Thinh Dao, Cuong Chi Le, Khoa D. Doan, Kok-Seng Wong
Towards Clean-Label Backdoor Attacks in the Physical World. CoRR (2024)
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)
Tuan Nguyen, Dung Thuy Nguyen, Khoa D. Doan, Kok-Seng Wong
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape. CoRR (2024)
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 (2024)
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 (2024)
Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li
Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI (2023)
Thuy Dung Nguyen, Tuan Nguyen, Anh Tran, Khoa D. Doan, Kok-Seng Wong
IBA: Towards Irreversible Backdoor Attacks in Federated Learning. NeurIPS (2023)
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)
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 (2023)
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 (2023)
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 (2023)
Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li
Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR (2023)
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 (2023)
Khoa D. Doan, Yingjie Lao, Ping Li
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. NeurIPS (2022)
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 (2022)
Khoa D. Doan, Yingjie Lao, Ping Li
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. CoRR (2022)
Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li
Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR (2022)
Khoa D. Doan, Peng Yang, Ping Li
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CoRR (2022)
Khoa D. Doan, Sarkhan Badirli, Chandan K. Reddy
Unified Energy-Based Generative Network for Supervised Image Hashing. ACCV (6) (2022)
Khoa D. Doan, Peng Yang, Ping Li
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CVPR (2022)
Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. SIGIR (2021)
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 (2020)
Khoa D. Doan, Chandan K. Reddy
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. WWW (2020)
Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
Targeted display advertising: the case of preferential attachment. CoRR (2020)
Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. CoRR (2020)
Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
Targeted display advertising: the case of preferential attachment. IEEE BigData (2019)
Khoa D. Doan, Guolei Yang, Chandan K. Reddy
An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. PAKDD (3) (2019)
Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy
Adversarial Factorization Autoencoder for Look-alike Modeling. CIKM (2019)