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Foiling Explanations in Deep Neural Networks

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Foiling Explanations in Deep Neural Networks

27 November 2022

Snir Vitrack Tamam

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Papers citing "Foiling Explanations in Deep Neural Networks"

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Title
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG Roie Kazoom Raz Lapid Moshe Sipper Ofer Hadar VLM ObjD AAML 353 5 0 07 Apr 2025
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 405 13 0 25 Aug 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems Ryan Zhou Jaume Bacardit Alexander Brownlee Stefano Cagnoni Martin Fyvie Giovanni Iacca John Mccall Niki van Stein David Walker Ting-Kuei Hu 204 5 0 12 Jun 2024
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors Raz Lapid Almog Dubin Moshe Sipper AAML 184 5 0 18 Apr 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 210 0 0 09 Mar 2024
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors Ben Pinhasov Raz Lapid Rony Ohayon Moshe Sipper Y. Aperstein AAML 170 15 0 05 Mar 2024
Open Sesame! Universal Black Box Jailbreaking of Large Language ModelsApplied Sciences (Appl. Sci.), 2023 Raz Lapid Ron Langberg Moshe Sipper AAML 275 141 0 04 Sep 2023
Evolutionary approaches to explainable machine learning Ryan Zhou Ting-Kuei Hu 200 9 0 23 Jun 2023
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models Raz Lapid Moshe Sipper AAML 191 23 0 13 Jun 2023
A Melting Pot of Evolution and LearningGenetic Programming Theory and Practice (GPTP), 2023 Moshe Sipper Achiya Elyasaf Tomer Halperin Zvika Haramaty Raz Lapid Eyal Segal Itai Tzruia Snir Vitrack Tamam BDL 94 0 0 08 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A surveyInformation Fusion (Inf. Fusion), 2023 Hubert Baniecki P. Biecek AAML 483 111 0 06 Jun 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors Raz Lapid Eylon Mizrahi Moshe Sipper AAML 269 3 0 07 Mar 2023
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 225 21 0 05 Jul 2021