Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods

6 November 2019

Himabindu Lakkaraju

Papers citing "Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods"

50 / 133 papers shown

Title
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery Oliver Schacht Biwei Huang 12 0 0 16 May 2025
Enhanced Photonic Chip Design via Interpretable Machine Learning Techniques Lirandë Pira Airin Antony Nayanthara Prathap Daniel Peace Jacquiline Romero 9 0 0 14 May 2025
SHAP-based Explanations are Sensitive to Feature Representation Hyunseung Hwang Andrew Bell Joao Fonseca Venetia Pliatsika Julia Stoyanovich Steven Euijong Whang TDI FAtt 32 0 0 13 May 2025
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration Vasiliki Papanikou Danae Pla Karidi E. Pitoura Emmanouil Panagiotou Eirini Ntoutsi 33 0 0 01 May 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 27 0 0 18 Apr 2025
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods Danial Hooshyar Eve Kikas Yeongwook Yang Gustav Šír Raija Hamalainen T. Karkkainen Roger Azevedo 59 1 0 01 Apr 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Chhavi Yadav Evan Monroe Laufer Dan Boneh Kamalika Chaudhuri 91 0 0 06 Feb 2025
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI Christopher Burger Charles Walter Thai Le AAML 148 1 0 20 Jan 2025
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 45 0 0 29 Oct 2024
A prototype-based model for set classification Mohammad Mohammadi Sreejita Ghosh VLM 112 1 0 25 Aug 2024
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI) Supriya Manna Dionis Barcari 45 3 0 31 Jul 2024
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other? Jakob Mokander Prathm Juneja David S. Watson Luciano Floridi 34 54 0 07 Jul 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 46 3 0 26 Jun 2024
Explaining Predictions by Characteristic Rules Amr Alkhatib Henrik Bostrom Michalis Vazirgiannis 29 5 0 31 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 29 4 0 16 May 2024
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 38 1 0 03 May 2024
Robust Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 23 0 0 03 May 2024
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots Xi Xin Giles Hooker Fei Huang AAML 46 6 0 29 Apr 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis Abhilekha Dalal R. Rayan Adrita Barua Eugene Y. Vasserman Md Kamruzzaman Sarker Pascal Hitzler 30 4 0 21 Apr 2024
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models Maria Heuss Maarten de Rijke Avishek Anand 124 1 0 24 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 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 49 0 0 09 Mar 2024
Attention Meets Post-hoc Interpretability: A Mathematical Perspective Gianluigi Lopardo F. Precioso Damien Garreau 16 4 0 05 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 34 78 0 25 Jan 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 49 4 0 28 Dec 2023
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 29 0 0 20 Nov 2023
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations Koorosh Aslansefat Mojgan Hashemian M. Walker Mohammed Naveed Akram Ioannis Sorokos Y. Papadopoulos FAtt AAML 19 2 0 13 Nov 2023
Beyond XAI:Obstacles Towards Responsible AI Yulu Pi 37 2 0 07 Sep 2023
Explaining Black-Box Models through Counterfactuals Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 37 2 0 14 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 39 1 0 28 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations Vinitra Swamy Jibril Frej Tanja Kaser 34 14 0 01 Jul 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 37 1 0 18 May 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 21 37 0 20 Apr 2023
Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions Hongjing Xia Joshua C. Chang S. Nowak Sonya Mahajan R. Mahajan Ted L. Chang Carson C. Chow 38 1 0 19 Apr 2023
An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner Zi-yu Chen Xiaomeng Wang Yuanjiang Huang Tao Jia 35 1 0 03 Apr 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation N. Jethani A. Saporta Rajesh Ranganath FAtt 29 10 0 24 Feb 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju K. Ramamurthy Kush R. Varshney 30 1 0 17 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 22 4 0 11 Feb 2023
Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay Kwan Ho Ryan Chan B. Haeffele D. Geman René Vidal DRL 24 10 0 06 Feb 2023
Faithful Chain-of-Thought Reasoning Qing Lyu Shreya Havaldar Adam Stein Li Zhang D. Rao Eric Wong Marianna Apidianaki Chris Callison-Burch ReLM LRM 41 207 0 31 Jan 2023
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH Lauren Alvarez Tim Menzies 34 2 0 25 Jan 2023
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank Tanya Chowdhury Razieh Rahimi James Allan FAtt 34 18 0 24 Dec 2022
Robust Explanation Constraints for Neural Networks Matthew Wicker Juyeon Heo Luca Costabello Adrian Weller FAtt 29 18 0 16 Dec 2022
On the Limit of Explaining Black-box Temporal Graph Neural Networks Minh Nhat Vu My T. Thai 16 4 0 02 Dec 2022
Understanding and Enhancing Robustness of Concept-based Models Sanchit Sinha Mengdi Huai Jianhui Sun Aidong Zhang AAML 34 18 0 29 Nov 2022
Towards More Robust Interpretation via Local Gradient Alignment Sunghwan Joo Seokhyeon Jeong Juyeon Heo Adrian Weller Taesup Moon FAtt 30 5 0 29 Nov 2022
Testing the effectiveness of saliency-based explainability in NLP using randomized survey-based experiments Adel Rahimi Shaurya Jain FAtt 13 0 0 25 Nov 2022
Explaining Image Classifiers with Multiscale Directional Image Representation Stefan Kolek Robert Windesheim Héctor Andrade-Loarca Gitta Kutyniok Ron Levie 29 4 0 22 Nov 2022
CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux Julien Colin Rémi Cadène Thomas Serre 19 102 0 17 Nov 2022