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Understanding Deep Image Representations by Inverting Them

Understanding Deep Image Representations by Inverting Them

26 November 2014
Aravindh Mahendran
Andrea Vedaldi
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Understanding Deep Image Representations by Inverting Them"

50 / 858 papers shown
Title
Improving Privacy-Preserving Vertical Federated Learning by Efficient
  Communication with ADMM
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
105
16
0
20 Jul 2022
Explaining Deepfake Detection by Analysing Image Matching
Explaining Deepfake Detection by Analysing Image Matching
S. Dong
Jin Wang
Jiajun Liang
Haoqiang Fan
Renhe Ji
74
52
0
20 Jul 2022
Radiomics-Guided Global-Local Transformer for Weakly Supervised
  Pathology Localization in Chest X-Rays
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays
Yan Han
G. Holste
Ying Ding
Ahmed H. Tewfik
Yifan Peng
Zhangyang Wang
LM&MAViT
130
16
0
10 Jul 2022
Activation Template Matching Loss for Explainable Face Recognition
Activation Template Matching Loss for Explainable Face Recognition
Huawei Lin
Haozhe Liu
Qiufu Li
Linlin Shen
CVBM
86
2
0
05 Jul 2022
Secure Forward Aggregation for Vertical Federated Neural Networks
Secure Forward Aggregation for Vertical Federated Neural Networks
Shuowei Cai
Di Chai
Liu Yang
Junxue Zhang
Yilun Jin
Leye Wang
Kun Guo
Kai Chen
FedML
80
8
0
28 Jun 2022
Measuring Representational Robustness of Neural Networks Through Shared
  Invariances
Measuring Representational Robustness of Neural Networks Through Shared Invariances
Vedant Nanda
Till Speicher
Camila Kolling
John P. Dickerson
Krishna P. Gummadi
Adrian Weller
139
14
0
23 Jun 2022
Visualizing and Understanding Contrastive Learning
Visualizing and Understanding Contrastive Learning
Fawaz Sammani
Boris Joukovsky
Nikos Deligiannis
SSLFAtt
96
9
0
20 Jun 2022
Compressed-VFL: Communication-Efficient Learning with Vertically
  Partitioned Data
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
Timothy Castiglia
Anirban Das
Shiqiang Wang
S. Patterson
FedML
74
50
0
16 Jun 2022
Reconstructing Training Data from Trained Neural Networks
Reconstructing Training Data from Trained Neural Networks
Niv Haim
Gal Vardi
Gilad Yehudai
Ohad Shamir
Michal Irani
118
141
0
15 Jun 2022
Orthonormal Convolutions for the Rotation Based Iterative
  Gaussianization
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
Valero Laparra
Alexander Hepburn
J. E. Johnson
Jesús Malo
75
3
0
08 Jun 2022
From Attribution Maps to Human-Understandable Explanations through
  Concept Relevance Propagation
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
Reduan Achtibat
Maximilian Dreyer
Ilona Eisenbraun
S. Bosse
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
FAtt
87
150
0
07 Jun 2022
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain
  EEG-based Deep Learning Model
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model
Hanqi Wang
Xiaoguang Zhu
Tao Chen
Chengfang Li
Liang Song
FAtt
72
5
0
30 May 2022
Federated Semi-Supervised Learning with Prototypical Networks
Federated Semi-Supervised Learning with Prototypical Networks
Woojun Kim
Keondo Park
Kihyuk Sohn
Raphael Shu
Hyung-Sin Kim
FedML
85
12
0
27 May 2022
Leveraging Causal Inference for Explainable Automatic Program Repair
Leveraging Causal Inference for Explainable Automatic Program Repair
Jianzong Wang
Shijing Si
Z. Zhu
Xiaoyang Qu
Zhenhou Hong
Jing Xiao
105
4
0
26 May 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent
  Clustering
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
Ekdeep Singh Lubana
Chi Ian Tang
F. Kawsar
Robert P. Dick
Akhil Mathur
FedML
77
54
0
23 May 2022
BodyMap: Learning Full-Body Dense Correspondence Map
BodyMap: Learning Full-Body Dense Correspondence Map
A. Ianina
N. Sarafianos
Yuanlu Xu
Ignacio Rocco
Tony Tung
3DH
66
14
0
18 May 2022
Prompting to Distill: Boosting Data-Free Knowledge Distillation via
  Reinforced Prompt
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
Xinyin Ma
Xinchao Wang
Gongfan Fang
Yongliang Shen
Weiming Lu
42
11
0
16 May 2022
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting
Zeyu Lu
Junjun Jiang
Jun Huang
Gang Wu
Xianming Liu
66
25
0
15 May 2022
Exploiting Digital Surface Models for Inferring Super-Resolution for
  Remotely Sensed Images
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images
S. Karatsiolis
C. Padubidri
A. Kamilaris
73
5
0
09 May 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
Jie Ren
Mingjie Li
Meng Zhou
Shih-Han Chan
Quanshi Zhang
63
3
0
04 May 2022
The Revisiting Problem in Simultaneous Localization and Mapping: A
  Survey on Visual Loop Closure Detection
The Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection
Konstantinos A. Tsintotas
Loukas Bampis
Antonios Gasteratos
78
111
0
27 Apr 2022
Exploring Hidden Semantics in Neural Networks with Symbolic Regression
Exploring Hidden Semantics in Neural Networks with Symbolic Regression
Yuanzhen Luo
Qiang Lu
Xilei Hu
Jake Luo
Zhiguang Wang
63
0
0
22 Apr 2022
Semantic interpretation for convolutional neural networks: What makes a
  cat a cat?
Semantic interpretation for convolutional neural networks: What makes a cat a cat?
Haonan Xu
Yuntian Chen
Dongxiao Zhang
FAtt
72
3
0
16 Apr 2022
Few-shot Forgery Detection via Guided Adversarial Interpolation
Few-shot Forgery Detection via Guided Adversarial Interpolation
Haonan Qiu
Siyu Chen
Bei Gan
Kunze Wang
Huafeng Shi
Jing Shao
Ziwei Liu
AAML
118
6
0
12 Apr 2022
Total Variation Optimization Layers for Computer Vision
Total Variation Optimization Layers for Computer Vision
Raymond A. Yeh
Yuan-Ting Hu
Zhongzheng Ren
Alex Schwing
53
14
0
07 Apr 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by
  Information Bottleneck
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
Junho Kim
Byung-Kwan Lee
Yong Man Ro
AAML
64
46
0
06 Apr 2022
On scientific understanding with artificial intelligence
On scientific understanding with artificial intelligence
Mario Krenn
R. Pollice
S. Guo
Matteo Aldeghi
Alba Cervera-Lierta
...
Florian Hase
A. Jinich
AkshatKumar Nigam
Zhenpeng Yao
Alán Aspuru-Guzik
88
197
0
04 Apr 2022
AutoProtoNet: Interpretability for Prototypical Networks
AutoProtoNet: Interpretability for Prototypical Networks
Pedro Sandoval Segura
W. Lawson
40
2
0
02 Apr 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural
  Networks for Efficient Human Activity Recognition
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
Randy Ardywibowo
Shahin Boluki
Zhangyang Wang
Bobak J. Mortazavi
Shuai Huang
Xiaoning Qian
45
2
0
31 Mar 2022
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the
  Teacher
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi
Hye Yoon Lee
Deokki Hong
Joonsang Yu
Noseong Park
Youngsok Kim
Jinho Lee
MQ
113
33
0
31 Mar 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient
  Leakage
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
Zhuohang Li
Jiaxin Zhang
Lu Liu
Jian-Dong Liu
FedML
89
122
0
29 Mar 2022
Core Risk Minimization using Salient ImageNet
Core Risk Minimization using Salient ImageNet
Sahil Singla
Mazda Moayeri
Soheil Feizi
88
14
0
28 Mar 2022
Adversarial Representation Sharing: A Quantitative and Secure
  Collaborative Learning Framework
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework
Jikun Chen
Feng Qiang
Na Ruan
FedML
46
2
0
27 Mar 2022
Verifiable Access Control for Augmented Reality Localization and Mapping
Verifiable Access Control for Augmented Reality Localization and Mapping
Shaowei Zhu
Hyo Jin Kim
Maurizio Monge
G. E. Suh
Armin Alaghi
Brandon Reagen
Vincent T. Lee
82
1
0
24 Mar 2022
Feature visualization for convolutional neural network models trained on
  neuroimaging data
Feature visualization for convolutional neural network models trained on neuroimaging data
Fabian Eitel
A. Melkonyan
K. Ritter
FAtt
48
1
0
24 Mar 2022
Powerful Physical Adversarial Examples Against Practical Face
  Recognition Systems
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems
Inderjeet Singh
Toshinori Araki
Kazuya Kakizaki
AAML
101
13
0
23 Mar 2022
GradViT: Gradient Inversion of Vision Transformers
GradViT: Gradient Inversion of Vision Transformers
Ali Hatamizadeh
Hongxu Yin
H. Roth
Wenqi Li
Jan Kautz
Daguang Xu
Pavlo Molchanov
ViT
188
65
0
22 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei Zhao
Yang Gao
Steffen Eger
AAMLELM
76
20
0
21 Mar 2022
Label-only Model Inversion Attack: The Attack that Requires the Least
  Information
Label-only Model Inversion Attack: The Attack that Requires the Least Information
Dayong Ye
Tianqing Zhu
Shuai Zhou
B. Liu
Wanlei Zhou
60
4
0
13 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream
  Transformer yields state of the art Brain-Score for Area V4
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4
William Berrios
Arturo Deza
MedImViT
84
13
0
08 Mar 2022
Do Explanations Explain? Model Knows Best
Do Explanations Explain? Model Knows Best
Ashkan Khakzar
Pedram J. Khorsandi
Rozhin Nobahari
Nassir Navab
XAIAAMLFAtt
38
24
0
04 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for
  Convolutional Neural Networks
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi
Mona Ashtari-Majlan
Gereziher W. Adhane
David Masip
AAMLFAtt
65
3
0
02 Mar 2022
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion
  Attacks
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
SILMAAML
61
17
0
01 Mar 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance
ARIA: Adversarially Robust Image Attribution for Content Provenance
Maksym Andriushchenko
Xiaochen Li
Geoffrey Oxholm
Thomas Gittings
Tu Bui
Nicolas Flammarion
John Collomosse
AAML
46
3
0
25 Feb 2022
Explanatory Paradigms in Neural Networks
Explanatory Paradigms in Neural Networks
Ghassan AlRegib
Mohit Prabhushankar
FAttXAI
67
12
0
24 Feb 2022
Privacy Leakage of Adversarial Training Models in Federated Learning
  Systems
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Jingyang Zhang
Yiran Chen
Hai Helen Li
FedMLPICV
136
16
0
21 Feb 2022
Non-Deterministic Face Mask Removal Based On 3D Priors
Non-Deterministic Face Mask Removal Based On 3D Priors
Xiangnan Yin
Liming Chen
CVBM
53
2
0
20 Feb 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned
  Representations
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations
Marco Bertolini
Djork-Arné Clevert
F. Montanari
FAtt
49
5
0
18 Feb 2022
Physics-Informed Deep Monte Carlo Quantile Regression method for
  Interval Multilevel Bayesian Network-based Satellite Heat Reliability
  Analysis
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis
Xiaohu Zheng
Wen Yao
Zhiqiang Gong
Yunyang Zhang
Xiaoya Zhang
19
0
0
14 Feb 2022
Assessing Privacy Risks from Feature Vector Reconstruction Attacks
Assessing Privacy Risks from Feature Vector Reconstruction Attacks
Emily Wenger
Francesca Falzon
Josephine Passananti
Haitao Zheng
Ben Y. Zhao
AAML
71
3
0
11 Feb 2022
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