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Benchmarking Robustness to Adversarial Image Obfuscations

Benchmarking Robustness to Adversarial Image Obfuscations

30 January 2023
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
Wei Qiao
Yintao Liu
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
    AAML
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Papers citing "Benchmarking Robustness to Adversarial Image Obfuscations"

13 / 13 papers shown
Title
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
Fengfan Zhou
Bangjie Yin
Hefei Ling
Qianyu Zhou
Wenxuan Wang
AAML
60
0
0
23 Nov 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing
  Models
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Fengfan Zhou
Qianyu Zhou
Xiangtai Li
Xuequan Lu
Lizhuang Ma
Hefei Ling
AAML
39
3
0
27 May 2024
The Entropy Enigma: Success and Failure of Entropy Minimization
The Entropy Enigma: Success and Failure of Entropy Minimization
Ori Press
Ravid Shwartz-Ziv
Yann LeCun
Matthias Bethge
UQCV
39
12
0
08 May 2024
DART: A Principled Approach to Adversarially Robust Unsupervised Domain
  Adaptation
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
Yunjuan Wang
Hussein Hazimeh
Natalia Ponomareva
Alexey Kurakin
Ibrahim Hammoud
Raman Arora
OOD
AAML
17
0
0
16 Feb 2024
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems
Fengfan Zhou
Qianyu Zhou
Bangjie Yin
Hui Zheng
Xuequan Lu
Lizhuang Ma
Heifei Ling
AAML
36
3
0
17 Jan 2024
Substance or Style: What Does Your Image Embedding Know?
Substance or Style: What Does Your Image Embedding Know?
Cyrus Rashtchian
Charles Herrmann
Chun-Sung Ferng
Ayan Chakrabarti
Dilip Krishnan
Deqing Sun
Da-Cheng Juan
Andrew Tomkins
18
6
0
10 Jul 2023
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Stephen Casper
Yuxiao Li
Jiawei Li
Tong Bu
Ke Zhang
K. Hariharan
Dylan Hadfield-Menell
AAML
13
15
0
08 Feb 2023
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks
Stephen Casper
K. Hariharan
Dylan Hadfield-Menell
AAML
18
11
0
18 Nov 2022
On the interplay of adversarial robustness and architecture components:
  patches, convolution and attention
On the interplay of adversarial robustness and architecture components: patches, convolution and attention
Francesco Croce
Matthias Hein
34
6
0
14 Sep 2022
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
215
201
0
21 Oct 2021
Certified Patch Robustness via Smoothed Vision Transformers
Certified Patch Robustness via Smoothed Vision Transformers
Hadi Salman
Saachi Jain
Eric Wong
Aleksander Mkadry
AAML
57
58
0
11 Oct 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,316
0
28 May 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
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