Which Models have Perceptually-Aligned Gradients? An Explanation via
Off-Manifold Robustness

Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

30 May 2023

Sebastian Bordt

Hima Lakkaraju

Papers citing "Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness"

10 / 10 papers shown

Title
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 19 1 0 30 Sep 2024
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment Yong-Hyun Park Junghoon Seo Bomseok Park Seongsu Lee Junghyo Jo AAML 27 0 0 17 Jul 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 19 4 0 16 May 2024
Towards White Box Deep Learning Maciej Satkiewicz AAML 27 0 0 14 Mar 2024
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 48 2 0 06 Dec 2023
Manifold Preserving Guided Diffusion Yutong He Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka ... Wei-Hsiang Liao Yuki Mitsufuji J. Zico Kolter Ruslan Salakhutdinov Stefano Ermon DiffM 116 63 0 28 Nov 2023
Characterizing Data Point Vulnerability via Average-Case Robustness Tessa Han Suraj Srinivas Himabindu Lakkaraju AAML OOD 21 0 0 26 Jul 2023
CLIPAG: Towards Generator-Free Text-to-Image Generation Roy Ganz Michael Elad VLM 18 7 0 29 Jun 2023
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 78 70 0 02 Mar 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020