Amnesia is a replay composition attack on continual learning that tilts class distributions under visibility (delta) and mass (f) budgets to reduce accuracy while evading audits.
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Amnesia: A Stealthy Replay Attack on Continual Learning Dreams
Amnesia is a replay composition attack on continual learning that tilts class distributions under visibility (delta) and mass (f) budgets to reduce accuracy while evading audits.