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LOTS about Attacking Deep Features

LOTS about Attacking Deep Features

18 November 2016
Andras Rozsa
Manuel Günther
Terrance E. Boult
    AAML
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Papers citing "LOTS about Attacking Deep Features"

11 / 11 papers shown
Title
Carpet-bombing patch: attacking a deep network without usual
  requirements
Carpet-bombing patch: attacking a deep network without usual requirements
Pol Labarbarie
Adrien Chan-Hon-Tong
Stéphane Herbin
Milad Leyli-Abadi
AAML
32
1
0
12 Dec 2022
Attacking Image Splicing Detection and Localization Algorithms Using
  Synthetic Traces
Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces
Shengbang Fang
Matthew C. Stamm
AAML
24
6
0
22 Nov 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
Shehzeen Samarah Hussain
Todd P. Huster
Chris Mesterharm
Paarth Neekhara
Kevin R. An
Malhar Jere
Harshvardhan Digvijay Sikka
F. Koushanfar
AAML
18
6
0
09 Jun 2022
Similarity-based Gray-box Adversarial Attack Against Deep Face
  Recognition
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
Hanrui Wang
Shuo Wang
Zhe Jin
Yandan Wang
Cunjian Chen
Massimo Tistarelli
AAML
24
16
0
11 Jan 2022
Exploring Transferable and Robust Adversarial Perturbation Generation
  from the Perspective of Network Hierarchy
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
Ruikui Wang
Yuanfang Guo
Ruijie Yang
Yunhong Wang
AAML
17
3
0
16 Aug 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for
  Targeted Transfer Attacks
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Jacob Mitchell Springer
Melanie Mitchell
Garrett Kenyon
AAML
31
43
0
03 Jun 2021
Towards Face Encryption by Generating Adversarial Identity Masks
Towards Face Encryption by Generating Adversarial Identity Masks
Xiao Yang
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
YueFeng Chen
H. Xue
AAML
PICV
37
72
0
15 Mar 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
Backdooring Convolutional Neural Networks via Targeted Weight
  Perturbations
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations
Jacob Dumford
Walter J. Scheirer
AAML
22
116
0
07 Dec 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
Unconstrained Face Verification using Deep CNN Features
Unconstrained Face Verification using Deep CNN Features
Jun-Cheng Chen
Vishal M. Patel
Rama Chellappa
CVBM
234
294
0
07 Aug 2015
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