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Ningxin Hu

2 accepted papers

2024

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks

ECCV 2024poster

"Federated Learning (FL) is becoming a popular paradigm for leveraging distributed data and preserving data privacy. However, due to the distributed characteristic, FL systems are vulnerable to Byzantine attacks that compromised clients attack the global model by uploading malicious model updates. W…

2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions

IJCAI 2021poster

It has become increasingly thorny for computer vision competitions to preserve fairness when participants intentionally fine-tune their models against the test datasets to improve their performance. To mitigate such unfairness, competition organizers restrict the training and evaluation process of p…