Yatie Xiao
2 indexed papers
Recent (6 mo)
2With code
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226
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Crypto×2ML×1
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Research Timeline
2026
Label Leakage Attacks in Machine Unlearning: A Parameter and Inversion-Based Approach
This paper analyzes and proposes four novel attack methods—based on model parameters and model inversion—to demonstrate that existing machine unlearning techniques can inadvertently leak the categories of the forgotten data.
Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation
This paper diagnoses a bias-dominated shortcut in class-level machine unlearning, where forgetting is achieved by suppressing classification head biases, and proposes bias-aware mechanisms to mitigate this issue.
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Papers
cs.LGcs.CRRecentMay 9, 2026
Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation
This paper diagnoses a bias-dominated shortcut in class-level machine unlearning, where forgetting is achieved by suppressing classification head biases, and proposes bias-aware mechanisms to mitigate…
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cs.CRRecentApr 8, 2026