Inverting Visual Representations with Convolutional Networks

9 June 2015

Alexey Dosovitskiy

Thomas Brox

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Papers citing "Inverting Visual Representations with Convolutional Networks"

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Title
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations Kathleen Anderson Thomas Martinetz CVBM 73 0 0 12 Mar 2025
Single-pass Detection of Jailbreaking Input in Large Language Models Leyla Naz Candogan Yongtao Wu Elias Abad Rocamora Grigorios G. Chrysos V. Cevher AAML 51 0 0 24 Feb 2025
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information Kunal Chelani Assia Benbihi Fredrik Kahl Torsten Sattler Zuzana Kukelova 3DPC 36 0 0 17 Sep 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries Yu-Hsiang Huang Yuche Tsai Hsiang Hsiao Hong-Yi Lin Shou-De Lin SILM 44 8 0 12 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 49 2 0 11 Jun 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction Yuxi Mi Zhizhou Zhong Y. Huang Jia-Bao Ji Jianqing Xu Jun Wang Shaoming Wang Shouhong Ding Shuigeng Zhou PICV 40 13 0 19 Mar 2024
PICNN: A Pathway towards Interpretable Convolutional Neural Networks Wengang Guo Jiayi Yang Huilin Yin Qijun Chen Wei Ye 33 3 0 19 Dec 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri Julia Grabinski M. Keuper 30 6 0 29 Nov 2023
Text Embeddings Reveal (Almost) As Much As Text John X. Morris Volodymyr Kuleshov Vitaly Shmatikov Alexander M. Rush RALM 28 96 0 10 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 36 1 0 26 Sep 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Privacy Protectability: An Information-theoretical Approach Siping Shi Bihai Zhang Dan Wang 23 1 0 25 May 2023
Free Lunch for Privacy Preserving Distributed Graph Learning Nimesh Agrawal Nikita Malik Sandeep Kumar 24 0 0 18 May 2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation Jiyi Zhang Hansheng Fang Hwee Kuan Lee E. Chang 18 1 0 10 May 2023
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera Poses Kunal Chelani Torsten Sattler Fredrik Kahl Zuzana Kukelova 35 7 0 08 May 2023
Permutation Equivariance of Transformers and Its Applications Hengyuan Xu Liyao Xiang Hang Ye Dixi Yao Pengzhi Chu Baochun Li 19 13 0 16 Apr 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar Hassan Jameel Asghar Dali Kaafar AAML 34 2 0 12 Apr 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 29 30 0 25 Feb 2023
Model Doctor for Diagnosing and Treating Segmentation Error Zhijie Jia Lin Chen Kaiwen Hu Lechao Cheng Zunlei Feng Min-Gyoo Song 26 0 0 17 Feb 2023
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time Rudolf Herdt Maximilian Schmidt Daniel Otero Baguer Jean LeĆlerc Arrastia Peter Maass 25 2 0 04 Feb 2023
Valid P-Value for Deep Learning-Driven Salient Region Daiki Miwa Vo Nguyen Le Duy I. Takeuchi FAtt AAML 32 14 0 06 Jan 2023
What do Vision Transformers Learn? A Visual Exploration Amin Ghiasi Hamid Kazemi Eitan Borgnia Steven Reich Manli Shu Micah Goldblum A. Wilson Tom Goldstein ViT 34 60 0 13 Dec 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 27 4 0 17 Nov 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Yi Ma FAtt 35 27 0 24 Oct 2022
TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts Zhihao Wang Chuang Zhu 24 1 0 07 Oct 2022
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition Thanh-Dat Truong C. Duong Ngan Le Marios Savvides Khoa Luu CVBM 72 9 0 11 Sep 2022
Impact of Colour Variation on Robustness of Deep Neural Networks Chen-Hao Hu Weiwen Shi AAML OOD 25 1 0 02 Sep 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 43 12 0 19 Aug 2022
Activation Template Matching Loss for Explainable Face Recognition Huawei Lin Haozhe Liu Qiufu Li Linlin Shen CVBM 29 1 0 05 Jul 2022
DECK: Model Hardening for Defending Pervasive Backdoors Guanhong Tao Yingqi Liu Shuyang Cheng Shengwei An Zhuo Zhang Qiuling Xu Guangyu Shen Xiangyu Zhang AAML 26 7 0 18 Jun 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat? Haonan Xu Yuntian Chen Dongxiao Zhang FAtt 30 3 0 16 Apr 2022
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations Amin Ghiasi Hamid Kazemi Steven Reich Chen Zhu Micah Goldblum Tom Goldstein 48 15 0 31 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 53 15 0 23 Jan 2022
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability Sílvia Casacuberta Esra Suel Seth Flaxman FAtt 21 1 0 31 Dec 2021
Ex-Model: Continual Learning from a Stream of Trained Models Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu CLL 19 11 0 13 Dec 2021
Grounding Psychological Shape Space in Convolutional Neural Networks Lucas Bechberger Kai-Uwe Kühnberger 13 2 0 16 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 44 11 0 05 Nov 2021
Projected GANs Converge Faster Axel Sauer Kashyap Chitta Jens Muller Andreas Geiger 47 234 0 01 Nov 2021
Natural Image Reconstruction from fMRI using Deep Learning: A Survey Zarina Rakhimberdina Quentin Jodelet Xin Liu T. Murata 3DV 127 29 0 18 Oct 2021
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion Zihang Lai Sifei Liu Alexei A. Efros Xiaolong Wang VGen 41 31 0 06 Oct 2021
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators Qing Wan Siu Wun Cheung Yoonsuck Choe 29 0 0 04 Oct 2021
Designing Counterfactual Generators using Deep Model Inversion Jayaraman J. Thiagarajan V. Narayanaswamy Deepta Rajan J. Liang Akshay S. Chaudhari A. Spanias DiffM 20 22 0 29 Sep 2021
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform Dongmei Xue Haichuan Ma Li Li Dong Liu Zhiwei Xiong MedIm 30 7 0 18 Sep 2021
Interpretable deep-learning models to help achieve the Sustainable Development Goals Ricardo Vinuesa B. Sirmaçek 11 84 0 24 Aug 2021
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition Ziwei Xu Guangzhi Wang Yongkang Wong Mohan S. Kankanhalli 54 26 0 10 Aug 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 33 3 0 26 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 31 43 0 03 Jun 2021
A Fusion-Denoising Attack on InstaHide with Data Augmentation Xinjian Luo X. Xiao Yuncheng Wu Juncheng Liu Beng Chin Ooi FedML PICV 52 7 0 17 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 16 15 0 09 May 2021
Privacy-Preserving Federated Learning on Partitioned Attributes Shuang Zhang Liyao Xiang Xi Yu Pengzhi Chu Yingqi Chen Chen Cen L. Wang FedML 20 2 0 29 Apr 2021