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A single adversarial document can be rendered ineffective against a tri-layer defense, reducing attack success rates from over 67% to just 3%.
SPRINT tackles the overlooked challenge of few-shot class-incremental learning on tabular data, achieving state-of-the-art results by smartly exploiting unlabeled data and cheap storage.
