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A Simple and Efficient Baseline for Data Attribution on Images., , , , and . CoRR, (2023)What Can We Learn from Unlearnable Datasets?, , , , and . CoRR, (2023)Poisons that are learned faster are more effective., , , , , , and . CVPR Workshops, page 197-204. IEEE, (2022)Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models., , , , and . CVPR, page 6048-6058. IEEE, (2023)Low Curvature Activations Reduce Overfitting in Adversarial Training., , , and . ICCV, page 16403-16413. IEEE, (2021)Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models., , , , and . CoRR, (2022)Shift Invariance Can Reduce Adversarial Robustness., , , and . NeurIPS, page 1858-1871. (2021)Autoregressive Perturbations for Data Poisoning., , , , , and . NeurIPS, (2022)Understanding and Mitigating Copying in Diffusion Models., , , , and . CoRR, (2023)ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors., , , , , and . CoRR, (2020)