ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1412.0035
  4. Cited By
Understanding Deep Image Representations by Inverting Them

Understanding Deep Image Representations by Inverting Them

26 November 2014
Aravindh Mahendran
Andrea Vedaldi
    FAtt
ArXivPDFHTML

Papers citing "Understanding Deep Image Representations by Inverting Them"

50 / 338 papers shown
Title
Visual Image Reconstruction from Brain Activity via Latent Representation
Visual Image Reconstruction from Brain Activity via Latent Representation
Y. Kamitani
Misato Tanaka
Ken Shirakawa
30
0
0
13 May 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
Xianglong Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
74
0
0
31 Mar 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
75
0
0
12 Mar 2025
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Wenjie Qu
Yuguang Zhou
Yongji Wu
Tingsong Xiao
Binhang Yuan
Heng Chang
Jiaheng Zhang
79
0
0
12 Mar 2025
AI-Assisted Decision Making with Human Learning
AI-Assisted Decision Making with Human Learning
Gali Noti
Kate Donahue
Jon M. Kleinberg
Sigal Oren
138
0
0
18 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan
Julian Forsyth
Thomas Fel
M. Kowal
Konstantinos G. Derpanis
111
7
0
06 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans
Dimensions underlying the representational alignment of deep neural networks with humans
F. Mahner
Lukas Muttenthaler
Umut Güçlü
M. Hebart
50
5
0
28 Jan 2025
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy
Linh Tran
Timothy Castiglia
Stacy Patterson
Ana Milanova
FedML
50
0
0
23 Jan 2025
StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer
StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer
Ruojun Xu
Weijie Xi
Xiaodi Wang
Yongbo Mao
Zach Cheng
DiffM
52
1
0
20 Jan 2025
Convolutional Neural Networks Do Work with Pre-Defined Filters
Convolutional Neural Networks Do Work with Pre-Defined Filters
C. Linse
Erhardt Barth
T. Martinetz
94
5
0
27 Nov 2024
Measuring Sound Symbolism in Audio-visual Models
Measuring Sound Symbolism in Audio-visual Models
Wei-Cheng Tseng
Yi-Jen Shih
David Harwath
Raymond Mooney
42
0
0
18 Sep 2024
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
Kunal Chelani
Assia Benbihi
Fredrik Kahl
Torsten Sattler
Zuzana Kukelova
3DPC
38
0
0
17 Sep 2024
Masked Mixers for Language Generation and Retrieval
Masked Mixers for Language Generation and Retrieval
Benjamin L. Badger
49
0
0
02 Sep 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in
  Text Embeddings without Model Queries
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
49
8
0
12 Jun 2024
A Multimodal Automated Interpretability Agent
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham
Sarah Schwettmann
Franklin Wang
Achyuta Rajaram
Evan Hernandez
Jacob Andreas
Antonio Torralba
41
18
0
22 Apr 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video
  quality metrics
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics
Victoria Leonenkova
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
48
3
0
15 Apr 2024
Deep Learning with Parametric Lenses
Deep Learning with Parametric Lenses
Geoffrey S. H. Cruttwell
Bruno Gavranović
Neil Ghani
Paul W. Wilson
Fabio Zanasi
35
2
0
30 Mar 2024
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space
Ahmad Hassanpour
Fatemeh Jamalbafrani
Bian Yang
Kiran Raja
Raymond N. J. Veldhuis
Julian Fierrez
GAN
CVBM
47
8
0
18 Mar 2024
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption
  of Monocular Depth Estimation in Autonomous Navigation Applications
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
Amira Guesmi
Muhammad Abdullah Hanif
Ihsen Alouani
B. Ouni
Mohamed Bennai
AAML
MDE
49
5
0
18 Mar 2024
MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron
  Captioning
MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron Captioning
Alfirsa Damasyifa Fauzulhaq
Wahyu Parwitayasa
Joseph A. Sugihdharma
M. F. Ridhani
N. Yudistira
36
0
0
05 Jan 2024
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
Wengang Guo
Jiayi Yang
Huilin Yin
Qijun Chen
Wei Ye
41
3
0
19 Dec 2023
k* Distribution: Evaluating the Latent Space of Deep Neural Networks
  using Local Neighborhood Analysis
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
39
1
0
07 Dec 2023
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer
Danah Yatim
Rafail Fridman
Omer Bar-Tal
Yoni Kasten
Tali Dekel
DiffM
VGen
34
51
0
28 Nov 2023
Text Embeddings Reveal (Almost) As Much As Text
Text Embeddings Reveal (Almost) As Much As Text
John X. Morris
Volodymyr Kuleshov
Vitaly Shmatikov
Alexander M. Rush
RALM
33
96
0
10 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey
Explaining Deep Face Algorithms through Visualization: A Survey
Thrupthi Ann
S. M. I. C. V. Balasubramanian
M. Jawahar
CVBM
38
1
0
26 Sep 2023
Interpretation on Multi-modal Visual Fusion
Interpretation on Multi-modal Visual Fusion
Hao Chen
Hao Zhou
Yongjian Deng
41
0
0
19 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning
Feature Matching Data Synthesis for Non-IID Federated Learning
Zijian Li
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
30
20
0
09 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
26
16
0
08 Aug 2023
Predicting and explaining nonlinear material response using deep
  Physically Guided Neural Networks with Internal Variables
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables
Javier Orera-Echeverria
J. Ayensa-Jiménez
Manuel Doblaré
30
1
0
07 Aug 2023
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Mohamed Bennai
MDE
47
12
0
06 Aug 2023
Polarization Multi-Image Synthesis with Birefringent Metasurfaces
Polarization Multi-Image Synthesis with Birefringent Metasurfaces
D. Hazineh
S. W. D. Lim
Qi Guo
F. Capasso
Todd E. Zickler
42
5
0
16 Jul 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General
  Losses
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
G. Buzaglo
Niv Haim
Gilad Yehudai
Gal Vardi
Yakir Oz
Yaniv Nikankin
Michal Irani
39
10
0
04 Jul 2023
Free Lunch for Privacy Preserving Distributed Graph Learning
Free Lunch for Privacy Preserving Distributed Graph Learning
Nimesh Agrawal
Nikita Malik
Sandeep Kumar
31
0
0
18 May 2023
A Deep Learning-based Compression and Classification Technique for Whole
  Slide Histopathology Images
A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images
Agnes Barsi
S. Nayak
S. Parida
R. Shukla
MedIm
33
10
0
11 May 2023
Finding Meaningful Distributions of ML Black-boxes under Forensic
  Investigation
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
Jiyi Zhang
Hansheng Fang
Hwee Kuan Lee
E. Chang
26
1
0
10 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
63
66
0
10 May 2023
On the Adversarial Inversion of Deep Biometric Representations
On the Adversarial Inversion of Deep Biometric Representations
Gioacchino Tangari
Shreesh Keskar
Hassan Jameel Asghar
Dali Kaafar
AAML
47
2
0
12 Apr 2023
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
Amira Guesmi
Ioan Marius Bilasco
Mohamed Bennai
Ihsen Alouani
GAN
AAML
50
20
0
03 Mar 2023
Demystifying Causal Features on Adversarial Examples and Causal
  Inoculation for Robust Network by Adversarial Instrumental Variable
  Regression
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
CML
AAML
28
18
0
02 Mar 2023
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks
Xiaoyu Wang
Martin Benning
38
2
0
01 Mar 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
27
35
0
13 Feb 2023
CodeLMSec Benchmark: Systematically Evaluating and Finding Security
  Vulnerabilities in Black-Box Code Language Models
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models
Hossein Hajipour
Keno Hassler
Thorsten Holz
Lea Schonherr
Mario Fritz
ELM
42
20
0
08 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation
PAMI: partition input and aggregate outputs for model interpretation
Wei Shi
Wentao Zhang
Weishi Zheng
Ruixuan Wang
FAtt
28
3
0
07 Feb 2023
Model Stitching and Visualization How GAN Generators can Invert Networks
  in Real-Time
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
27
2
0
04 Feb 2023
Text-To-4D Dynamic Scene Generation
Text-To-4D Dynamic Scene Generation
Uriel Singer
Shelly Sheynin
Adam Polyak
Oron Ashual
Iurii Makarov
...
Naman Goyal
Andrea Vedaldi
Devi Parikh
Justin Johnson
Yaniv Taigman
DiffM
39
147
0
26 Jan 2023
Valid P-Value for Deep Learning-Driven Salient Region
Valid P-Value for Deep Learning-Driven Salient Region
Daiki Miwa
Vo Nguyen Le Duy
I. Takeuchi
FAtt
AAML
34
14
0
06 Jan 2023
What do Vision Transformers Learn? A Visual Exploration
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
36
60
0
13 Dec 2022
Object-fabrication Targeted Attack for Object Detection
Object-fabrication Targeted Attack for Object Detection
Xuchong Zhang
Changfeng Sun
Haoliang Han
Hang Wang
Hongbin Sun
Nanning Zheng
AAML
29
0
0
13 Dec 2022
Learning to See Through with Events
Learning to See Through with Events
Lei Yu
Xiang Zhang
Wei Liao
Wentao Yang
Guisong Xia
44
14
0
05 Dec 2022
Experimental Observations of the Topology of Convolutional Neural
  Network Activations
Experimental Observations of the Topology of Convolutional Neural Network Activations
Emilie Purvine
Davis Brown
Brett Jefferson
C. Joslyn
Brenda Praggastis
Archit Rathore
Madelyn Shapiro
Bei Wang
Youjia Zhou
AI4CE
52
12
0
01 Dec 2022
1234567
Next