Understanding Deep Image Representations by Inverting Them

26 November 2014

Andrea Vedaldi

Papers citing "Understanding Deep Image Representations by Inverting Them"

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Title
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 96 44 0 03 Jun 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs Mike Wu Noah D. Goodman Stefano Ermon AI4CE 64 3 0 01 Jun 2021
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients Fan Mo Anastasia Borovykh Mohammad Malekzadeh Soteris Demetriou Deniz Gündüz Hamed Haddadi FedML 50 3 0 28 May 2021
Contrastive Model Inversion for Data-Free Knowledge Distillation Gongfan Fang Mingli Song Xinchao Wang Chen Shen Xingen Wang Xiuming Zhang 75 82 0 18 May 2021
Biometrics: Trust, but Verify Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 91 84 0 14 May 2021
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors Deeksha Dangwal Vincent T. Lee Hyo Jin Kim Tianwei Shen M. Cowan ... Brandon Reagen Tim Sherwood Vasileios Balntas Armin Alaghi Eddy Ilg AAML 64 15 0 09 May 2021
Where and When: Space-Time Attention for Audio-Visual Explanations Yanbei Chen Thomas Hummel A. Sophia Koepke Zeynep Akata 57 3 0 04 May 2021
Privacy-Preserving Federated Learning on Partitioned Attributes Shuang Zhang Liyao Xiang Xi Yu Pengzhi Chu Yingqi Chen Chen Cen L. Wang FedML 128 2 0 29 Apr 2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 81 11 0 23 Apr 2021
PARE: Part Attention Regressor for 3D Human Body Estimation Muhammed Kocabas C. Huang Otmar Hilliges Michael J. Black 3DH 126 410 0 17 Apr 2021
Fashion-Guided Adversarial Attack on Person Segmentation Marc Treu Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 65 13 0 17 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 103 477 0 15 Apr 2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion Pei Wang Yijun Li Krishna Kumar Singh Jingwan Lu Nuno Vasconcelos DiffM 52 29 0 13 Apr 2021
Neural Response Interpretation through the Lens of Critical Pathways Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht Seong Tae Kim Nassir Navab 58 34 0 31 Mar 2021
Vulnerability of Appearance-based Gaze Estimation Mingjie Xu Haofei Wang Yunfei Liu Feng Lu AAML 67 2 0 24 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 84 344 0 19 Mar 2021
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation Yang Zhao Hao Zhang 77 7 0 17 Mar 2021
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers Piotr Teterwak Chiyuan Zhang Dilip Krishnan Michael C. Mozer 88 10 0 15 Mar 2021
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines Kunal Chelani Fredrik Kahl Torsten Sattler 3DPC 83 23 0 08 Mar 2021
Categorical Foundations of Gradient-Based Learning Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi FedML 67 70 0 02 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization Bingyan Liu Yao Guo Xiangqun Chen FedML 76 87 0 02 Mar 2021
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion Samuel J. Broughton Md. Asif Jalal Roger K. Moore 44 0 0 22 Feb 2021
DSRN: an Efficient Deep Network for Image Relighting Sourya Dipta Das Nisarg A. Shah S. Dutta Himanshu Kumar 100 6 0 18 Feb 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective Chaoning Zhang Philipp Benz Adil Karjauv In So Kweon AAML 97 42 0 12 Feb 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 61 13 0 09 Feb 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts Zhiqiang Tang Yunhe Gao Yi Zhu Zhi-Li Zhang Mu Li Dimitris N. Metaxas OOD 87 54 0 04 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 118 26 0 04 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 121 36 0 02 Feb 2021
Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit Romann M. Weber GAN 32 1 0 28 Jan 2021
Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising Xiangyu Xu Muchen Li Wenxiu Sun Ming-Hsuan Yang 88 42 0 26 Jan 2021
Generative Zero-shot Network Quantization Xiangyu He Qinghao Hu Peisong Wang Jian Cheng GAN MQ 114 23 0 21 Jan 2021
Towards glass-box CNNs Manaswini Piduguralla Jignesh S. Bhatt 45 3 0 11 Jan 2021
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders I. Sledge Matthew S. Emigh Jonathan L. King Denton L. Woods J. T. Cobb José C. Príncipe 76 17 0 10 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 131 114 0 08 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 128 19 0 31 Dec 2020
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 214 692 0 28 Dec 2020
Analyzing Representations inside Convolutional Neural Networks Uday Singh Saini Evangelos E. Papalexakis FAtt 36 2 0 23 Dec 2020
Image Translation via Fine-grained Knowledge Transfer Xuanhong Chen Ziang Liu Ting Qiu Bingbing Ni Naiyuan Liu Xiwei Hu Yuhan Li 35 0 0 21 Dec 2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks Abhishek Singh Ayush Chopra Vivek Sharma Ethan Garza Emily Zhang Praneeth Vepakomma Ramesh Raskar 57 46 0 20 Dec 2020
Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations Cynthia X Shen Mario Krenn S. Eppel Alán Aspuru-Guzik 70 46 0 17 Dec 2020
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting Qingyi Pan Wenbo Hu Jun Zhu FAtt AI4TS 58 7 0 16 Dec 2020
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation Sophie Burkhardt Jannis Brugger Nicolas Wagner Zahra Ahmadi Kristian Kersting Stefan Kramer NAI FAtt 88 8 0 15 Dec 2020
Are DNNs fooled by extremely unrecognizable images? Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 51 3 0 07 Dec 2020
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support Isma Hadji Richard P. Wildes 28 2 0 30 Nov 2020
3D Invisible Cloak Mingfu Xue Can He Zhiyu Wu Jian Wang Yanfeng Guo Weiqiang Liu 67 1 0 27 Nov 2020
Learning Class Unique Features in Fine-Grained Visual Classification Runkai Zheng Zhijia Yu Yinqi Zhang C. Ding Hei Victor Cheng Li Liu 29 0 0 22 Nov 2020
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing Yuhang Li Feng Zhu Ruihao Gong Mingzhu Shen Xin Dong F. Yu Shaoqing Lu Shi Gu MQ 104 40 0 19 Nov 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Yaxing Wang Lu Yu Joost van de Weijer VLM 92 17 0 11 Nov 2020
Focus on the present: a regularization method for the ASR source-target attention layer Nanxin Chen Piotr Żelasko Jesús Villalba Najim Dehak 49 3 0 02 Nov 2020
Role Taxonomy of Units in Deep Neural Networks Yang Zhao Hao Zhang Xiuyuan Hu 20 1 0 02 Nov 2020