BibTeX records: Jacob M. Springer

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@article{DBLP:journals/corr/abs-2102-05110,
  author    = {Jacob M. Springer and
               Melanie Mitchell and
               Garrett T. Kenyon},
  title     = {Adversarial Perturbations Are Not So Weird: Entanglement of Robust
               and Non-Robust Features in Neural Network Classifiers},
  journal   = {CoRR},
  volume    = {abs/2102.05110},
  year      = {2021}
}
@inproceedings{DBLP:conf/ssiai/WangSSTPK20,
  author    = {Daniel A. Wang and
               Charles M. S. Strauss and
               Jacob M. Springer and
               Austin Thresher and
               Howard Pritchard and
               Garrett T. Kenyon},
  title     = {Sparse {MP4}},
  booktitle = {{SSIAI}},
  pages     = {99--103},
  publisher = {{IEEE}},
  year      = {2020}
}
@article{DBLP:journals/corr/abs-2009-01398,
  author    = {Jacob M. Springer and
               Garrett T. Kenyon},
  title     = {It's Hard for Neural Networks To Learn the Game of Life},
  journal   = {CoRR},
  volume    = {abs/2009.01398},
  year      = {2020}
}
@article{DBLP:journals/corr/abs-2009-13562,
  author    = {Jacob M. Springer and
               Bryn Marie Reinstadler and
               Una{-}May O'Reilly},
  title     = {{STRATA:} Building Robustness with a Simple Method for Generating
               Black-box Adversarial Attacks for Models of Code},
  journal   = {CoRR},
  volume    = {abs/2009.13562},
  year      = {2020}
}
@article{DBLP:journals/corr/abs-1811-07211,
  author    = {Jacob M. Springer and
               Charles M. S. Strauss and
               Austin M. Thresher and
               Edward Kim and
               Garrett T. Kenyon},
  title     = {Classifiers Based on Deep Sparse Coding Architectures are Robust to
               Deep Learning Transferable Examples},
  journal   = {CoRR},
  volume    = {abs/1811.07211},
  year      = {2018}
}
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