Verification of machine unlearning is fragile because model providers can use adversarial unlearning to pass checks while keeping data influence.
Pytorch: An imperative style, high-performance deep learning library
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Formulates a game where competitors in collaborative learning are incentivized to manipulate updates, then proposes mechanisms that restore honest participation for mean estimation, convex SGD, and non-convex federated learning.
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Verification of Machine Unlearning is Fragile
Verification of machine unlearning is fragile because model providers can use adversarial unlearning to pass checks while keeping data influence.
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Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Formulates a game where competitors in collaborative learning are incentivized to manipulate updates, then proposes mechanisms that restore honest participation for mean estimation, convex SGD, and non-convex federated learning.