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Unravelling Robustness of Deep Learning based Face Recognition Against
  Adversarial Attacks

Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks

22 February 2018
Gaurav Goswami
Nalini Ratha
Akshay Agarwal
Richa Singh
Mayank Vatsa
    AAML
ArXivPDFHTML

Papers citing "Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks"

25 / 25 papers shown
Title
Simultaneous Adversarial Attacks On Multiple Face Recognition System
  Components
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components
Inderjeet Singh
Kazuya Kakizaki
Toshinori Araki
CVBM
AAML
PICV
29
0
0
11 Apr 2023
Robust Smart Home Face Recognition under Starving Federated Data
Robust Smart Home Face Recognition under Starving Federated Data
Jaechul Roh
Yajun Fang
FedML
CVBM
AAML
26
0
0
10 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
30
32
0
24 Oct 2022
Is Face Recognition Safe from Realizable Attacks?
Is Face Recognition Safe from Realizable Attacks?
Sanjay Saha
Terence Sim
CVBM
AAML
24
3
0
15 Oct 2022
Boosting Robustness Verification of Semantic Feature Neighborhoods
Boosting Robustness Verification of Semantic Feature Neighborhoods
Anan Kabaha
Dana Drachsler-Cohen
AAML
34
6
0
12 Sep 2022
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely
  Limited Queries
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries
Keshav Kasichainula
Hadi Mansourifar
W. Shi
AAML
37
1
0
04 Jul 2022
Pixel-Level Face Image Quality Assessment for Explainable Face
  Recognition
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
Philipp Terhörst
Marco Huber
Naser Damer
Florian Kirchbuchner
Kiran Raja
Arjan Kuijper
CVBM
31
26
0
21 Oct 2021
Adversarial Relighting Against Face Recognition
Adversarial Relighting Against Face Recognition
Qian Zhang
Qing Guo
Ruijun Gao
Felix Juefei Xu
Hongkai Yu
Wei Feng
AAML
14
19
0
18 Aug 2021
Unravelling the Effect of Image Distortions for Biased Prediction of
  Pre-trained Face Recognition Models
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
P. Majumdar
S. Mittal
Richa Singh
Mayank Vatsa
CVBM
47
19
0
14 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
31
236
0
01 Aug 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial
  Image Purification
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
S. Silva
Arun Das
I. Scarff
Peyman Najafirad
AAML
20
1
0
05 Apr 2021
Learning Loss for Test-Time Augmentation
Learning Loss for Test-Time Augmentation
Ildoo Kim
Younghoon Kim
Sungwoong Kim
OOD
26
90
0
22 Oct 2020
Securing CNN Model and Biometric Template using Blockchain
Securing CNN Model and Biometric Template using Blockchain
Akhil Goel
Akshay Agarwal
Mayank Vatsa
Richa Singh
Nalini Ratha
9
31
0
31 Jul 2020
On the Robustness of Face Recognition Algorithms Against Attacks and
  Bias
On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh
Akshay Agarwal
Maneet Singh
Shruti Nagpal
Mayank Vatsa
CVBM
AAML
49
65
0
07 Feb 2020
Detecting Face2Face Facial Reenactment in Videos
Detecting Face2Face Facial Reenactment in Videos
Prabhat Kumar
Mayank Vatsa
Richa Singh
PICV
CVBM
11
49
0
21 Jan 2020
Adversarial Learning with Margin-based Triplet Embedding Regularization
Adversarial Learning with Margin-based Triplet Embedding Regularization
Yaoyao Zhong
Weihong Deng
AAML
28
50
0
20 Sep 2019
A Comprehensive Overview of Biometric Fusion
A Comprehensive Overview of Biometric Fusion
Maneet Singh
Richa Singh
Arun Ross
16
185
0
08 Feb 2019
Data Fine-tuning
Data Fine-tuning
S. Chhabra
P. Majumdar
Mayank Vatsa
Richa Singh
AAML
20
13
0
10 Dec 2018
Recognizing Disguised Faces in the Wild
Recognizing Disguised Faces in the Wild
Maneet Singh
Richa Singh
Mayank Vatsa
Nalini Ratha
Rama Chellappa
CVBM
33
55
0
21 Nov 2018
Explainable Black-Box Attacks Against Model-based Authentication
Explainable Black-Box Attacks Against Model-based Authentication
Washington Garcia
Joseph I. Choi
S. K. Adari
S. Jha
Kevin R. B. Butler
26
10
0
28 Sep 2018
Fast Geometrically-Perturbed Adversarial Faces
Fast Geometrically-Perturbed Adversarial Faces
Ali Dabouei
Sobhan Soleymani
J. Dawson
Nasser M. Nasrabadi
CVBM
AAML
29
65
0
24 Sep 2018
Adversarial Examples in Deep Learning: Characterization and Divergence
Adversarial Examples in Deep Learning: Characterization and Divergence
Wenqi Wei
Ling Liu
Margaret Loper
Stacey Truex
Lei Yu
Mehmet Emre Gursoy
Yanzhao Wu
AAML
SILM
33
18
0
29 Jun 2018
Monge blunts Bayes: Hardness Results for Adversarial Training
Monge blunts Bayes: Hardness Results for Adversarial Training
Zac Cranko
A. Menon
Richard Nock
Cheng Soon Ong
Zhan Shi
Christian J. Walder
AAML
26
16
0
08 Jun 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,847
0
08 Jul 2016
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
250
921
0
03 Dec 2014
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