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Generalizing Adversarial Explanations with Grad-CAM

Generalizing Adversarial Explanations with Grad-CAM

11 April 2022
Tanmay Chakraborty
Utkarsh Trehan
Khawla Mallat
J. Dugelay
    FAttGAN
ArXiv (abs)PDFHTML

Papers citing "Generalizing Adversarial Explanations with Grad-CAM"

8 / 8 papers shown
Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew
Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew
Farhin Farhad Riya
Shahinul Hoque
J. Sun
Olivera Kotevska
AAMLFedMLFAtt
570
0
0
17 Nov 2025
Prompt-based Adaptation in Large-scale Vision Models: A Survey
Prompt-based Adaptation in Large-scale Vision Models: A Survey
Xi Xiao
Yunbei Zhang
Lin Zhao
Y. Liu
Xiaoying Liao
...
Xue Lin
Min Xu
Qifan Wang
Tianyang Wang
Cheng Han
VPVLMVLM
235
5
0
15 Oct 2025
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image DatasetsIEEE VLSI Test Symposium (VTS), 2025
Omid Halimi Milani
Amanda Nikho
Lauren Mills
Marouane Tliba
Ahmet Enis Cetin
Mohammed H. Elnagar
MedIm
317
1
0
29 Apr 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi
Rajarshi Bhattacharya
Pourya Shamsolmoali
Rafael M. O. Cruz
Maguelonne Heritier
Mohammadhadi Shateri
432
0
0
16 Apr 2025
TraNCE: Transformative Non-linear Concept Explainer for CNNs
TraNCE: Transformative Non-linear Concept Explainer for CNNsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Ugochukwu Ejike Akpudo
Yongsheng Gao
J. Zhou
Andrew Lewis
265
2
0
26 Mar 2025
Cross-Task Attack: A Self-Supervision Generative Framework Based on
  Attention Shift
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
Qingyuan Zeng
Yunpeng Gong
Min Jiang
AAML
290
9
0
18 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
627
1
0
21 Jun 2024
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
3.0K
16,722
0
07 Oct 2016
1