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Towards Data-Free Model Stealing in a Hard Label Setting., , and . CVPR, page 15263-15272. IEEE, (2022)DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization., , , and . CoRR, (2022)Efficient and Effective Augmentation Strategy for Adversarial Training., , and . CoRR, (2022)DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier., , , and . CoRR, (2019)Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses., , , and . CoRR, (2020)Boosting Adversarial Robustness using Feature Level Stochastic Smoothing., , , and . CoRR, (2023)A 130.7mm2 2-layer 32Gb ReRAM memory device in 24nm technology., , , , , , , , , and 37 other author(s). ISSCC, page 210-211. IEEE, (2013)Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing., , , and . CVPR Workshops, page 93-102. Computer Vision Foundation / IEEE, (2021)Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks., , , , and . ICLR, OpenReview.net, (2023)Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks., , , , and . CoRR, (2022)