Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning

no code implementations • 24 May 2024 • Wenhan Chang, Tianqing Zhu, Heng Xu, Wenjian Liu, Wanlei Zhou

In this paper, to accurately defining the unlearning class of complex data, we apply the definition of Concept, rather than an image feature or a token of text data, to represent the semantic information of unlearning class.

Data Poisoning Image Classification +1

Machine Unlearning: A Survey

no code implementations • 6 Jun 2023 • Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu

Machine learning has attracted widespread attention and evolved into an enabling technology for a wide range of highly successful applications, such as intelligent computer vision, speech recognition, medical diagnosis, and more.

Machine Unlearning Medical Diagnosis +2

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

no code implementations • CVPR 2023 • Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He

We observe that the performance of this feed-forward Hebbian learning for fully test-time adaptation can be significantly improved by incorporating a feedback neuro-modulation layer.

Test-time Adaptation