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1710.10547
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Interpretation of Neural Networks is Fragile
AAAI Conference on Artificial Intelligence (AAAI), 2017
29 October 2017
Amirata Ghorbani
Abubakar Abid
James Zou
FAtt
AAML
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Papers citing
"Interpretation of Neural Networks is Fragile"
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DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications
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166
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Richard Osuala
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Logic Traps in Evaluating Attribution Scores
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EG-Booster: Explanation-Guided Booster of ML Evasion Attacks
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146
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Finding Representative Interpretations on Convolutional Neural Networks
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Maxim Torgonskiy
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175
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339
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Jointly Attacking Graph Neural Network and its Explanations
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Wenqi Fan
Wei Jin
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246
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Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks
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Trustworthy AI: A Computational Perspective
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Neural Information Processing Systems (NeurIPS), 2021
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When and How to Fool Explainable Models (and Humans) with Adversarial Examples
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261
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Explanation-Guided Diagnosis of Machine Learning Evasion Attacks
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Best of both worlds: local and global explanations with human-understandable concepts
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226
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S-LIME: Stabilized-LIME for Model Explanation
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On the Lack of Robust Interpretability of Neural Text Classifiers
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119
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Hadi Salman
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The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
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Fooling Partial Dependence via Data Poisoning
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296
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Information-theoretic Evolution of Model Agnostic Global Explanations
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Leveraging Sparse Linear Layers for Debuggable Deep Networks
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Interpretable Semantic Photo Geolocation
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Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
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246
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On the Sensitivity and Stability of Model Interpretations in NLP
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Evaluating Saliency Methods for Neural Language Models
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Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation
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160
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193
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95
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Human-Understandable Decision Making for Visual Recognition
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Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
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D. Bates
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Y. Erdi
Christopher Kanan
183
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Do Input Gradients Highlight Discriminative Features?
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Harshay Shah
Prateek Jain
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362
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0
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Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks
IEEE International Joint Conference on Neural Network (IJCNN), 2021
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G. Sanguinetti
Luca Bortolussi
FAtt
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279
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22 Feb 2021
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