Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability

28 April 2023

Papers citing "Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability"

5 / 5 papers shown

Title
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 137 0 0 28 Apr 2025
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs Gesina Schwalbe Georgii Mikriukov Edgar Heinert Stavros Gerolymatos Mert Keser Alois Knoll Matthias Rottmann Annika Mütze 31 0 0 11 Apr 2025
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee Georgii Mikriukov Gesina Schwalbe Stefan Wermter D. Wolter 52 2 0 20 Sep 2024
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection Georgii Mikriukov Gesina Schwalbe Franz Motzkus Korinna Bade AAML 32 1 0 25 Mar 2024
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade 21 2 0 30 Apr 2023