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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
v1v2v3 (latest)

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

2 January 2018
Naveed Akhtar
Ajmal Mian
    AAML
ArXiv (abs)PDFHTML

Papers citing "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey"

50 / 462 papers shown
Title
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion
  Detection
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection
Mahdi Soltani
Khashayar Khajavi
M. J. Siavoshani
A. Jahangir
72
9
0
05 Mar 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep
  Learning Model Registry
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry
Wenxin Jiang
Nicholas Synovic
Matt Hyatt
Taylor R. Schorlemmer
R. Sethi
Yung-Hsiang Lu
George K. Thiruvathukal
James C. Davis
88
71
0
05 Mar 2023
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of
  Perturbation and AI Techniques
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques
S. Dhesi
Laura Fontes
P. Machado
I. Ihianle
Farhad Fassihi Tash
D. Adama
AAML
55
5
0
22 Feb 2023
Collective Robustness Certificates: Exploiting Interdependence in Graph
  Neural Networks
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
Jan Schuchardt
Aleksandar Bojchevski
Johannes Gasteiger
Stephan Günnemann
AAML
72
26
0
06 Feb 2023
Lateralized Learning for Multi-Class Visual Classification Tasks
Lateralized Learning for Multi-Class Visual Classification Tasks
Abubakar Siddique
Will N. Browne
Gina M. Grimshaw
46
2
0
30 Jan 2023
Semantic Adversarial Attacks on Face Recognition through Significant
  Attributes
Semantic Adversarial Attacks on Face Recognition through Significant Attributes
Yasmeen M. Khedr
Yifeng Xiong
Kun He
AAML
85
2
0
28 Jan 2023
RobustPdM: Designing Robust Predictive Maintenance against Adversarial
  Attacks
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks
Ayesha Siddique
Ripan Kumar Kundu
Gautam Raj Mode
K. A. Hoque
AAML
75
2
0
25 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based
  Systems: A Survey and Taxonomy
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy
Yusuke Kawamoto
Kazumasa Miyake
K. Konishi
Y. Oiwa
72
4
0
18 Jan 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient
  Correction
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Shuren He
Bani Mallick
121
6
0
09 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior
Improving Human-AI Collaboration With Descriptions of AI Behavior
Ángel Alexander Cabrera
Adam Perer
Jason I. Hong
88
40
0
06 Jan 2023
Data Leakage via Access Patterns of Sparse Features in Deep
  Learning-based Recommendation Systems
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
H. Hashemi
Wenjie Xiong
Liu Ke
Kiwan Maeng
M. Annavaram
G. E. Suh
Hsien-Hsin S. Lee
66
6
0
12 Dec 2022
Robust Graph Representation Learning via Predictive Coding
Robust Graph Representation Learning via Predictive Coding
Billy Byiringiro
Tommaso Salvatori
Thomas Lukasiewicz
OOD
75
6
0
09 Dec 2022
Leveraging Unlabeled Data to Track Memorization
Leveraging Unlabeled Data to Track Memorization
Mahsa Forouzesh
Hanie Sedghi
Patrick Thiran
NoLaTDI
87
4
0
08 Dec 2022
Imperceptible Adversarial Attack via Invertible Neural Networks
Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen
Zifan Wang
Junjie Huang
Wentao Zhao
Xiao Liu
Dejian Guan
AAML
135
22
0
28 Nov 2022
Invariance-Aware Randomized Smoothing Certificates
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt
Stephan Günnemann
AAML
71
6
0
25 Nov 2022
The European AI Liability Directives -- Critique of a Half-Hearted
  Approach and Lessons for the Future
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future
P. Hacker
AILaw
85
68
0
25 Nov 2022
Scalar Invariant Networks with Zero Bias
Scalar Invariant Networks with Zero Bias
Chuqin Geng
Xiaojie Xu
Haolin Ye
X. Si
79
2
0
15 Nov 2022
Resisting Graph Adversarial Attack via Cooperative Homophilous
  Augmentation
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation
Zhihao Zhu
Chenwang Wu
Mingyang Zhou
Hao Liao
DefuLian
Enhong Chen
AAML
69
4
0
15 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A
  Survey
On the Robustness of Explanations of Deep Neural Network Models: A Survey
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
XAIFAttAAML
84
4
0
09 Nov 2022
Data-free Defense of Black Box Models Against Adversarial Attacks
Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak
Inder Khatri
Ruchit Rawal
Anirban Chakraborty
AAML
71
1
0
03 Nov 2022
Defending with Errors: Approximate Computing for Robustness of Deep
  Neural Networks
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks
Amira Guesmi
Ihsen Alouani
Khaled N. Khasawneh
M. Baklouti
T. Frikha
Mohamed Abid
Nael B. Abu-Ghazaleh
AAMLOOD
156
2
0
02 Nov 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep
  Neural Network
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
Hua Hua
Jun Yan
Xi Fang
Weiquan Huang
Huilin Yin
Wancheng Ge
AAML
68
1
0
25 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
78
8
0
23 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware
  Robust Reinforcement Learning
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Furong Huang
OODAAMLOffRL
48
51
0
12 Oct 2022
Green Learning: Introduction, Examples and Outlook
Green Learning: Introduction, Examples and Outlook
C.-C. Jay Kuo
A. Madni
141
73
0
03 Oct 2022
Your Out-of-Distribution Detection Method is Not Robust!
Your Out-of-Distribution Detection Method is Not Robust!
Mohammad Azizmalayeri
Arshia Soltani Moakhar
Arman Zarei
Reihaneh Zohrabi
M. T. Manzuri
M. Rohban
OODD
111
17
0
30 Sep 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Hui Wei
Hao Tang
Xuemei Jia
Zhixiang Wang
Han-Bing Yu
Zhubo Li
Shiníchi Satoh
Luc Van Gool
Zheng Wang
AAML
152
57
0
30 Sep 2022
Automatic satellite building construction monitoring
Automatic satellite building construction monitoring
Insaf Ashrapov
D. Malakhov
A. Marchenkov
Anton Lulin
Dani El-Ayyass
33
0
0
29 Sep 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial
  Training
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training
Saehyung Lee
Hyungyu Lee
AAML
72
2
0
27 Sep 2022
PINCH: An Adversarial Extraction Attack Framework for Deep Learning
  Models
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models
William Hackett
Stefan Trawicki
Zhengxin Yu
N. Suri
Peter Garraghan
MIACVAAML
68
3
0
13 Sep 2022
Resisting Deep Learning Models Against Adversarial Attack
  Transferability via Feature Randomization
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization
Ehsan Nowroozi
Mohammadreza Mohammadi
Pargol Golmohammadi
Yassine Mekdad
Mauro Conti
Selcuk Uluagac
AAMLSILM
82
14
0
11 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition:
  Attack and Defense
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense
Bo Peng
Bo Peng
Jie Zhou
Jianyue Xie
Li Liu
AAML
92
46
0
11 Sep 2022
Towards Adversarial Purification using Denoising AutoEncoders
Towards Adversarial Purification using Denoising AutoEncoders
Dvij Kalaria
Aritra Hazra
P. Chakrabarti
DiffM
58
5
0
29 Aug 2022
Solving large-scale MEG/EEG source localization and functional
  connectivity problems simultaneously using state-space models
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models
Jose M. Sanchez-Bornot
R. Sotero
J. Kelso
Damien Coyle
56
3
0
26 Aug 2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Mohammadreza Amirian
Friedhelm Schwenker
Thilo Stadelmann
AAML
81
16
0
24 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against
  Adversarial Machine Learning
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
90
2
0
31 Jul 2022
Membership Inference Attacks via Adversarial Examples
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai
Elie Kadoche
Rémi Leluc
Vincent Plassier
AAMLFedMLMIACV
112
7
0
27 Jul 2022
Versatile Weight Attack via Flipping Limited Bits
Versatile Weight Attack via Flipping Limited Bits
Jiawang Bai
Baoyuan Wu
Zhifeng Li
Shutao Xia
AAML
71
20
0
25 Jul 2022
Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from
  Videos
Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
P. Filntisis
George Retsinas
Foivos Paraperas-Papantoniou
Athanasios Katsamanis
A. Roussos
Petros Maragos
3DH
80
30
0
22 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram
  Classification
Decorrelative Network Architecture for Robust Electrocardiogram Classification
Christopher Wiedeman
Ge Wang
OOD
108
2
0
19 Jul 2022
Distance Learner: Incorporating Manifold Prior to Model Training
Distance Learner: Incorporating Manifold Prior to Model Training
Aditya Chetan
Nipun Kwatra
31
1
0
14 Jul 2022
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text
  Adversarial Attacks
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks
Mohammad Esmaeilpour
Nourhene Chaalia
P. Cardinal
AAML
55
1
0
14 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing
Yijiang Pang
Boyang Liu
Jiayu Zhou
OODAAML
72
1
0
11 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models
Large-scale Robustness Analysis of Video Action Recognition Models
Madeline Chantry Schiappa
Naman Biyani
Prudvi Kamtam
Shruti Vyas
Hamid Palangi
Vibhav Vineet
Yogesh S Rawat
AAML
90
28
0
04 Jul 2022
Threat Assessment in Machine Learning based Systems
Threat Assessment in Machine Learning based Systems
L. Tidjon
Foutse Khomh
61
17
0
30 Jun 2022
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Khoa D. Doan
Yingjie Lao
Peng Yang
Ping Li
AAML
80
22
0
24 Jun 2022
Review Neural Networks about Image Transformation Based on IGC Learning
  Framework with Annotated Information
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information
Yuanjie Yan
Suorong Yang
Yan Wang
Jian Zhao
S. Furao
59
0
0
21 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Abhijith Sharma
Yijun Bian
Phil Munz
Apurva Narayan
VLMAAML
87
20
0
16 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
89
61
0
15 Jun 2022
An Efficient Method for Sample Adversarial Perturbations against
  Nonlinear Support Vector Machines
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines
Wen Su
Qingna Li
AAML
38
0
0
12 Jun 2022
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