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Inverting Adversarially Robust Networks for Image Synthesis
v1v2v3v4v5 (latest)

Inverting Adversarially Robust Networks for Image Synthesis

13 June 2021
Renan A. Rojas-Gomez
Raymond A. Yeh
Minh Do
A. Nguyen
ArXiv (abs)PDFHTML

Papers citing "Inverting Adversarially Robust Networks for Image Synthesis"

32 / 32 papers shown
Title
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
322
702
0
19 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang
Jianing Zhu
Gang Niu
Bo Han
Masashi Sugiyama
Mohan Kankanhalli
AAML
53
277
0
05 Oct 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
72
425
0
16 Jul 2020
Semantic Pyramid for Image Generation
Semantic Pyramid for Image Generation
Assaf Shocher
Yossi Gandelsman
Inbar Mosseri
Michal Yarom
Michal Irani
William T. Freeman
Tali Dekel
GAN
71
55
0
13 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
216
1,846
0
03 Mar 2020
The Secret Revealer: Generative Model-Inversion Attacks Against Deep
  Neural Networks
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang
R. Jia
Hengzhi Pei
Wenxiao Wang
Yue Liu
Basel Alomair
AAML
113
419
0
17 Nov 2019
Scale-Equivariant Steerable Networks
Scale-Equivariant Steerable Networks
Li Xiao
Michal Szmaja
A. Smeulders
120
149
0
14 Oct 2019
Learning to Discover Novel Visual Categories via Deep Transfer
  Clustering
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
75
301
0
26 Aug 2019
Blind Universal Bayesian Image Denoising with Gaussian Noise Level
  Learning
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Majed El Helou
Sabine Süsstrunk
VLM
82
103
0
05 Jul 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
130
543
0
04 Jul 2019
Deep Semi-Supervised Anomaly Detection
Deep Semi-Supervised Anomaly Detection
Lukas Ruff
Robert A. Vandermeulen
Nico Görnitz
Alexander Binder
Emmanuel Müller
K. Müller
Marius Kloft
UQCV
58
545
0
06 Jun 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAMLGANFAtt
97
161
0
23 May 2019
Understanding Neural Networks via Feature Visualization: A survey
Understanding Neural Networks via Feature Visualization: A survey
Anh Nguyen
J. Yosinski
Jeff Clune
FAtt
76
161
0
18 Apr 2019
Real Image Denoising with Feature Attention
Real Image Denoising with Feature Attention
Saeed Anwar
Nick Barnes
66
506
0
16 Apr 2019
Photorealistic Style Transfer via Wavelet Transforms
Photorealistic Style Transfer via Wavelet Transforms
Jaejun Yoo
Youngjung Uh
Sanghyuk Chun
Byeongkyu Kang
Jung-Woo Ha
39
359
0
23 Mar 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
152
2,044
0
08 Feb 2019
Toward Convolutional Blind Denoising of Real Photographs
Toward Convolutional Blind Denoising of Real Photographs
Shi Guo
Zifei Yan
Peng Sun
W. Zuo
Lei Zhang
96
911
0
12 Jul 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
89
607
0
28 May 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
224
3,186
0
01 Feb 2018
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
377
11,795
0
11 Jan 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
226
5,019
0
02 Nov 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image
  Denoising
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Peng Sun
W. Zuo
Lei Zhang
125
2,123
0
11 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
SILMOOD
307
12,069
0
19 Jun 2017
Universal Style Transfer via Feature Transforms
Universal Style Transfer via Feature Transforms
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
DiffM
106
990
0
23 May 2017
Deep Feature Interpolation for Image Content Changes
Deep Feature Interpolation for Image Content Changes
P. Upchurch
Jacob V. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
98
309
0
16 Nov 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
237
10,249
0
27 Mar 2016
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Aravindh Mahendran
Andrea Vedaldi
FAtt
71
535
0
07 Dec 2015
Optimal whitening and decorrelation
Optimal whitening and decorrelation
A. Kessy
A. Lewin
K. Strimmer
44
404
0
02 Dec 2015
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
126
1,962
0
26 Nov 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
274
14,711
0
20 Jun 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,308
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 2013
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