Jiangwei Chen
1 indexed paper
Recent (6 mo)
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126
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ML×1AI×1
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2026
How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning
The paper proposes a novel, theoretically-grounded algorithm (HAMU) that addresses the challenge of machine unlearning by guaranteeing specified improvements in forget quality while minimizing retain utility degradation.
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