Chen Chen

Orcid: 0000-0001-7359-8515

Affiliations:
  • Sony AI, China
  • Zhejiang University, Key Laboratory of Big Data Intelligent Computing of Zhejiang Province, China


According to our database1, Chen Chen authored at least 23 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

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

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

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

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
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

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


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