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Jacob M. Springer

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A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks

Jun 03, 2021
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon

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Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers

Feb 09, 2021
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon

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STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code

Sep 28, 2020
Jacob M. Springer, Bryn Marie Reinstadler, Una-May O'Reilly

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It's Hard for Neural Networks To Learn the Game of Life

Sep 03, 2020
Jacob M. Springer, Garrett T. Kenyon

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Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples

Nov 20, 2018
Jacob M. Springer, Charles S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon

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