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Forward Learning for Gradient-based Black-box Saliency Map Generation

22 March 2024

Papers citing "Forward Learning for Gradient-based Black-box Saliency Map Generation"

29 / 29 papers shown

Title
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 130 418 0 20 Jan 2022
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling Soufiane Belharbi Aydin Sarraf M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 91 31 0 15 Sep 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 59 69 0 26 Jul 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise A. Kapishnikov Subhashini Venugopalan Besim Avci Benjamin D. Wedin Michael Terry Tolga Bolukbasi 100 95 0 17 Jun 2021
Counterfactual Explanations Can Be Manipulated Dylan Slack Sophie Hilgard Himabindu Lakkaraju Sameer Singh 71 137 0 04 Jun 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 101 229 0 25 Feb 2021
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations Saeed Khorram T. Lawson Fuxin Li AAML FAtt 44 26 0 31 Dec 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors Yi-Shan Lin Wen-Chuan Lee Z. Berkay Celik XAI 88 97 0 22 Sep 2020
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset Erico Tjoa Cuntai Guan XAI FAtt 59 27 0 07 Sep 2020
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery Pavan Rajkumar Magesh Richard Delwin Myloth Rijo Jackson Tom FAtt 42 192 0 01 Aug 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Yue Liu AAML 118 183 0 28 May 2020
There and Back Again: Revisiting Backpropagation Saliency Methods Sylvestre-Alvise Rebuffi Ruth C. Fong Xu Ji Andrea Vedaldi FAtt XAI 68 113 0 06 Apr 2020
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization Xiangyi Chen Sijia Liu Kaidi Xu Xingguo Li Xue Lin Mingyi Hong David Cox ODL 83 111 0 15 Oct 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Mehdi Neshat Zifan Wang Bradley Alexander Fan Yang Zijian Zhang Sirui Ding Markus Wagner Helen Zhou FAtt 93 1,073 0 03 Oct 2019
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models Daniel Omeiza Skyler Speakman C. Cintas Komminist Weldemariam FAtt 62 218 0 03 Aug 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 71 670 0 03 Apr 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective Anirudh Vemula Wen Sun J. Andrew Bagnell 61 40 0 31 Jan 2019
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 181 1,176 0 19 Jun 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 112 2,306 0 30 Oct 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 87 1,885 0 14 Aug 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 115 1,544 0 10 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,024 0 04 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,351 0 16 Nov 2016
Gradients of Counterfactuals Mukund Sundararajan Ankur Taly Qiqi Yan FAtt 73 104 0 08 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 802 36,892 0 25 Aug 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 382 14,268 0 23 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,338 0 14 Dec 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,615 0 01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 314 7,317 0 20 Dec 2013