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Witchcraft: Efficient PGD Attacks with Random Step Size., , , , , , and . ICASSP, page 3747-3751. IEEE, (2020)Adversarial Examples Make Strong Poisons., , , , , and . NeurIPS, page 30339-30351. (2021)Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability., , , , , and . NeurIPS, (2022)PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization., , , , , and . NeurIPS, (2022)Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers., , , and . NeurIPS, (2022)Adversarial attacks on machine learning systems for high-frequency trading., , , and . ICAIF, page 2:1-2:9. ACM, (2021)Transfer Learning with Deep Tabular Models., , , , , , , and . ICLR, OpenReview.net, (2023)Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation., , , , and . ICLR, OpenReview.net, (2023)NEFTune: Noisy Embeddings Improve Instruction Finetuning., , , , , , , , , and 3 other author(s). CoRR, (2023)MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data., , , , , and . CoRR, (2021)