Enyi Jiang — accepted AI-conference papers

2024

Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting

Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo

ICLR 2024poster

Federated Domain Adaptation (FDA) describes the federated learning (FL) setting where source clients and a server work collaboratively to improve the performance of a target client where limited data is available. The domain shift between the source and target domains, coupled with limited data of t…

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2024

RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness

Enyi Jiang, Gagandeep Singh

NeurIPS 2024poster

Most existing works focus on improving robustness against adversarial attacks bounded by a single $l_p$ norm using adversarial training (AT). However, these AT models' multiple-norm robustness (union accuracy) is still low, which is crucial since in the real-world an adversary is not necessarily bou…

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