Introduces Grouped Memorization Evaluation and FedMemPrune to remove unique memorized information in federated unlearning while preserving overlapping knowledge.
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3 Pith papers cite this work. Polarity classification is still indexing.
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LLMs achieve strong performance on website classification tasks relevant to web measurements and support a practical two-step methodology for targeted studies from the Tranco list.
Secondary analysis of 30 Saudi Google users' interviews identifies balanced perceptions of activity logs spanning benefits, risks, misconceptions, and severe negative outcomes.
citing papers explorer
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Rethinking Federated Unlearning via the Lens of Memorization
Introduces Grouped Memorization Evaluation and FedMemPrune to remove unique memorized information in federated unlearning while preserving overlapping knowledge.
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LLM-Assisted Web Measurements
LLMs achieve strong performance on website classification tasks relevant to web measurements and support a practical two-step methodology for targeted studies from the Tranco list.
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Users' Activity Logs: the Good, the Bad, the Misconception, and the Disastrous
Secondary analysis of 30 Saudi Google users' interviews identifies balanced perceptions of activity logs spanning benefits, risks, misconceptions, and severe negative outcomes.