An adversarial attack approach for eXplainable AI evaluation on deepfake detection models

8 December 2023

Papers citing "An adversarial attack approach for eXplainable AI evaluation on deepfake detection models"

8 / 8 papers shown

Title
Extending Information Bottleneck Attribution to Video Sequences Veronika Solopova Lucas Schmidt Dorothea Kolossa 47 0 0 28 Jan 2025
Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection K. Tsigos Evlampios Apostolidis Spyridon Baxevanakis Symeon Papadopoulos Vasileios Mezaris AAML 25 6 0 29 Apr 2024
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors Ben Pinhasov Raz Lapid Rony Ohayon Moshe Sipper Y. Aperstein AAML 27 7 0 05 Mar 2024
Metrics for saliency map evaluation of deep learning explanation methods T. Gomez Thomas Fréour Harold Mouchère XAI FAtt 59 41 0 31 Jan 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 112 57 0 07 Nov 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 132 1,018 0 27 Sep 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,190 0 07 Oct 2016