Jacob M. Springer

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 9

Top Topics

Facilitate Learning

Digital Image Watermarking

Rotational Invariant

Top Venues

Publications

Haydn T. Jones, Jacob M. Springer, Garrett T. Kenyon, Juston S. Moore
If you've trained one you've trained them all: inter-architecture similarity increases with robustness. UAI (2022)
Jacob M. Springer, Garrett T. Kenyon
It's Hard for Neural Networks to Learn the Game of Life. IJCNN (2021)
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon
A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks. CoRR (2021)
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers. CoRR (2021)
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks. NeurIPS (2021)
Jacob M. Springer, Garrett T. Kenyon
It's Hard for Neural Networks To Learn the Game of Life. CoRR (2020)
Jacob M. Springer, Bryn Marie Reinstadler, Una-May O'Reilly
STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code. CoRR (2020)
Daniel A. Wang, Charles M. S. Strauss, Jacob M. Springer, Austin Thresher, Howard Pritchard, Garrett T. Kenyon
Sparse MP4. SSIAI (2020)
Jacob M. Springer, Charles M. S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon
Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples. CoRR (2018)