← Search

Jacob M. Springer

2 accepted papers

2022

If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness

UAI 2022poster

Previous work has shown that commonly-used metrics for comparing representations between neural networks overestimate similarity due to correlations between data points. We show that intra-example feature correlations also causes significant overestimation of network similarity and propose an image…

2021

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

NeurIPS 2021poster

Adversarial examples for neural network image classifiers are known to be transferable: examples optimized to be misclassified by a source classifier are often misclassified as well by classifiers with different architectures. However, targeted adversarial examples—optimized to be classified as a ch…

Cited by 47SourcePDFScholar