Adversarial Examples and Distribution Shift: A Representations Perspective
Adversarial attacks cause machine learning models to produce wrong predictions by minimally perturbing their input. In this thesis, we take a step towards understanding how these perturbations affect the intermediate data representations of the model. Specifically, we compare standard and adversaria...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2022
|
| Online Access: | https://hdl.handle.net/1721.1/138945 |