2024
Practical Attribute Reconstruction Attack Against Federated Learning.
IEEE Trans. Big Data, December, 2024
Privacy and Robustness in Federated Learning: Attacks and Defenses.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models.
CoRR, 2024
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models.
CoRR, 2024
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations.
CoRR, 2024
Evaluating and Mitigating IP Infringement in Visual Generative AI.
CoRR, 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization.
CoRR, 2024
COALA: A Practical and Vision-Centric Federated Learning Platform.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Detecting, Explaining, and Mitigating Memorization in Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
A Simple Background Augmentation Method for Object Detection with Diffusion Model.
Proceedings of the Computer Vision - ECCV 2024, 2024
FedMef: Towards Memory-Efficient Federated Dynamic Pruning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Decision Boundary-Aware Data Augmentation for Adversarial Training.
IEEE Trans. Dependable Secur. Comput., 2023
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models.
CoRR, 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions.
CoRR, 2023
Alteration-free and Model-agnostic Origin Attribution of Generated Images.
CoRR, 2023
Addressing Catastrophic Forgetting in Federated Class-Continual Learning.
CoRR, 2023
A Pathway Towards Responsible AI Generated Content.
CoRR, 2023
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition.
CoRR, 2023
Where Did I Come From? Origin Attribution of AI-Generated Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting.
Proceedings of the International Conference on Machine Learning, 2023
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Towards Adversarially Robust Continual Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
Delving into the Adversarial Robustness of Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation.
CoRR, 2022
QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models.
CoRR, 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
DENSE: Data-Free One-Shot Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Extracted BERT Model Leaks More Information than You Think!
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity.
CoRR, 2021
A Novel Attribute Reconstruction Attack in Federated Learning.
CoRR, 2021
Guided Interpolation for Adversarial Training.
CoRR, 2021
2020
HAM: a deep collaborative ranking method incorporating textual information.
Frontiers Inf. Technol. Electron. Eng., 2020
Robust Federated Recommendation System.
CoRR, 2020
Online Partial Label Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Off-Policy Recommendation System Without Exploration.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CAMO: A Collaborative Ranking Method for Content Based Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019