Khoa D. Doan

According to our database, Khoa D. Doan authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Khoa D. Doan, Kok-Seng Wong

Eng. Appl. Artif. Intell., January, 2024

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, Chee Seng Chan, 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

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

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

Asymmetric Hashing for Fast Ranking via Neural Network Measures.

Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

IBA: Towards Irreversible Backdoor Attacks in Federated Learning.

Thuy Dung Nguyen, Tuan Nguyen, Anh Tran, Khoa D. Doan, Kok-Seng Wong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Defending Backdoor Attacks on Vision Transformer via Patch Processing.

Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

CoRR, 2022

Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class.

Khoa D. Doan, Yingjie Lao, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching.

Khoa D. Doan, Peng Yang, Ping Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unified Energy-Based Generative Network for Supervised Image Hashing.

Khoa D. Doan, Sarkhan Badirli, Chandan K. Reddy

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings.

Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Backdoor Attack with Imperceptible Input and Latent Modification.

Khoa D. Doan, Yingjie Lao, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

LIRA: Learnable, Imperceptible and Robust Backdoor Attacks.

Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Image Hashing by Minimizing Independent Relaxed Wasserstein Distance.

Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy

CoRR, 2020

Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder.

Khoa D. Doan, Chandan K. Reddy

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation.

Khoa D. Doan, Guolei Yang, Chandan K. Reddy

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Adversarial Factorization Autoencoder for Look-alike Modeling.

Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Targeted display advertising: the case of preferential attachment.

Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019