Publications

(2023). Turning a Curse Into a Blessing: Enabling Clean-Data-Free Defenses by Model Inversion. arXiv preprint arXiv:2206.07018.

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(2022). Label-only model inversion attacks via boundary repulsion. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022.

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(2022). Just fine-tune twice: Selective differential privacy for large language models. The 2022 Conference on Empirical Methods in Natural Language Processing.

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(2021). Zero-Round Active Learning. arXiv preprint arXiv:2107.06703.

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(2021). One-round active learning. arXiv preprint arXiv:2104.11843.

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(2021). Learning to Refit for Convex Learning Problems. 1st IEEE Conference on Secure and Trustworthy Machine Learning.

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(2021). Knowledge-enriched distributional model inversion attacks. Proceedings of the IEEE/CVF international conference on computer vision 2021.

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(2021). Adversarial unlearning of backdoors via implicit hypergradient. The International Conference on Learning Representations 2022.

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