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Latent Magic: An Investigation into Adversarial Examples Crafted in the
  Semantic Latent Space

Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space

22 May 2023
Bo Zheng
    DiffM
ArXivPDFHTML

Papers citing "Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space"

13 / 13 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
253
30,108
0
01 Mar 2022
Reveal of Vision Transformers Robustness against Adversarial Attacks
Reveal of Vision Transformers Robustness against Adversarial Attacks
Ahmed Aldahdooh
W. Hamidouche
Olivier Déforges
ViT
34
60
0
07 Jun 2021
AVAE: Adversarial Variational Auto Encoder
AVAE: Adversarial Variational Auto Encoder
Antoine Plumerault
Hervé Le Borgne
C´eline Hudelot
GAN
DRL
46
16
0
21 Dec 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
231
7,350
0
06 Oct 2020
Cross-Domain Transferability of Adversarial Perturbations
Cross-Domain Transferability of Adversarial Perturbations
Muzammal Naseer
Salman H. Khan
M. H. Khan
Fahad Shahbaz Khan
Fatih Porikli
AAML
83
145
0
28 May 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
347
11,784
0
11 Jan 2018
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
166
601
0
31 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
294
12,060
0
19 Jun 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
467
3,140
0
04 Nov 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
254
8,550
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
524
5,897
0
08 Jul 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
264
19,045
0
20 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
442
43,635
0
17 Sep 2014
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