Author

Qing Cao

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Conference Open access Sep 2026

A Durable Machine Unlearning Framework to Nullify Recall of Sensitive Data on Incremental Training

The proposed DUE framework can effectively nullify the recall of sensitive information after MU, and even improve the performance of ULMs, and establishes a new fundamental research direction in safe training against MU vulnerabilities.

Qing Cao, Liang Hu, Dora D. Liu et al. · Proceedings of the Thirty-Fi... · 0 citations

Jul 2026

Leveraging ECRAM for Edge Continual Learning

Several edge computing platforms, such as autonomous vehicles and smart sensing devices, need to adapt to dynamic environments in real time by learning from new data in the field. Continual learning has emerged as a promising solution for edge training, by incorporating techniques that successfully combine a highly sum...

Nabila Tasnim, Haoran Liu, Qing Cao et al. · arXiv.org · 0 citations