Wenquan Feng

ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck

Dataset Distillation (DD) compresses large datasets into smaller, synthetic subsets, enabling models trained on them to achieve performance comparable to those trained on the full data. However, these models remain vulnerable to adversarial attacks, limiting their use in safety-critical applications…