Khoa D. Doan

Orcid: 0000-0002-1610-8206

According to our database¹, Khoa D. Doan authored at least 41 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions.

[BibT_eX]

[DOI]

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

Towards Clean-Label Backdoor Attacks in the Physical World.

[BibT_eX]

[DOI]

CoRR, 2024

Flatness-aware Sequential Learning Generates Resilient Backdoors.

[BibT_eX]

[DOI]

CoRR, 2024

Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality.

[BibT_eX]

[DOI]

CoRR, 2024

Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator.

[BibT_eX]

[DOI]

CoRR, 2024

MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape.

[BibT_eX]

[DOI]

CoRR, 2024

Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Forget but Recall: Incremental Latent Rectification in Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Composite Concept Extraction through Backdooring.

[BibT_eX]

[DOI]

CoRR, 2024

Cold-start Recommendation by Personalized Embedding Region Elicitation.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Data Poisoning Quantization Backdoor Attack.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Fooling the Textual Fooler via Randomizing Latent Representations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models.

[BibT_eX]

[DOI]

CoRR, 2023

Fooling the Textual Fooler via Randomizing Latent Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack.

[BibT_eX]

[DOI]

CoRR, 2023

A Cosine Similarity-based Method for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Asymmetric Hashing for Fast Ranking via Neural Network Measures.

[BibT_eX]

[DOI]

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

IBA: Towards Irreversible Backdoor Attacks in Federated Learning.

[BibT_eX]

[DOI]

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

Empirical Study of Federated Unlearning: Efficiency and Effectiveness.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2023

Defending Backdoor Attacks on Vision Transformer via Patch Processing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Khoa D. Doan

Sarkhan Badirli

Chandan K. Reddy

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Generative models meet similarity search: efficient, heuristic-free and robust retrieval.

[BibT_eX]

[DOI]

Khoa D. Doan

PhD thesis, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space.

[BibT_eX]

[DOI]

CoRR, 2020

Regression via Implicit Models and Optimal Transport Cost Minimization.

[BibT_eX]

[DOI]

CoRR, 2020

Image Hashing by Minimizing Independent Relaxed Wasserstein Distance.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2016

Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Evaluating the impact of data placement to spark and SciDB with an Earth Science use case.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Khoa D. Doan

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