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1712.02328
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Generative Adversarial Perturbations
6 December 2017
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAML
GAN
WIGM
Re-assign community
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Papers citing
"Generative Adversarial Perturbations"
50 / 205 papers shown
OPOM: Customized Invisible Cloak towards Face Privacy Protection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yaoyao Zhong
Weihong Deng
PICV
236
44
0
24 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations
Conference on Fairness, Accountability and Transparency (FAccT), 2022
A. Ghosh
Matthew Jagielski
Chris L. Wilson
345
8
0
05 May 2022
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation
IEEE Transactions on Image Processing (IEEE TIP), 2022
Tianyi Shi
Nicolas Boutry
Yongchao Xu
Thierry Géraud
256
61
0
25 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Jing Xu
Rui Wang
Stefanos Koffas
K. Liang
S. Picek
FedML
AAML
349
35
0
07 Feb 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
International Conference on Learning Representations (ICLR), 2022
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
337
80
0
27 Jan 2022
On Distinctive Properties of Universal Perturbations
Sung Min Park
K. Wei
Kai Y. Xiao
Jungshian Li
Aleksander Madry
AAML
210
2
0
31 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
259
11
0
16 Dec 2021
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations
Shivangi Aneja
Lev Markhasin
Matthias Niessner
AAML
DiffM
PICV
257
39
0
16 Dec 2021
Stereoscopic Universal Perturbations across Different Architectures and Datasets
Z. Berger
Parth T. Agrawal
Tianlin Liu
Stefano Soatto
A. Wong
AAML
301
24
0
12 Dec 2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
IEEE Internet of Things Journal (IEEE IoT Journal), 2021
Tao Bai
Jun Zhao
Jinlin Zhu
Shoudong Han
Jiefeng Chen
Yue Liu
Alex C. Kot
AAML
119
6
0
19 Nov 2021
Generative Dynamic Patch Attack
Xiang Li
Shihao Ji
AAML
235
29
0
08 Nov 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
Grace Deng
Cuize Han
T. Dreossi
Clarence Lee
David S. Matteson
AI4TS
144
11
0
14 Oct 2021
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness
Xiao Yang
Yinpeng Dong
Wenzhao Xiang
Tianyu Pang
Hang Su
Jun Zhu
AAML
126
4
0
13 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper
Max Nadeau
Dylan Hadfield-Menell
Gabriel Kreiman
AAML
700
32
0
07 Oct 2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Shasha Li
Abhishek Aich
Shitong Zhu
M. Salman Asif
Chengyu Song
Amit K. Roy-Chowdhury
S. Krishnamurthy
AAML
365
48
0
05 Oct 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay Kumar
244
72
0
25 Sep 2021
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
K. Koga
Kazuhiro Takemoto
AAML
200
13
0
11 Aug 2021
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples
International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Ismail Alkhouri
Alvaro Velasquez
George Atia
AAML
GAN
137
1
0
05 Aug 2021
Adversarial Attacks with Time-Scale Representations
Alberto Santamaria-Pang
Jia-dong Qiu
Aritra Chowdhury
James R. Kubricht
Peter Tu
Iyer Naresh
Nurali Virani
AAML
MLAU
132
0
0
26 Jul 2021
Benign Adversarial Attack: Tricking Models for Goodness
ACM Multimedia (ACM MM), 2021
Jitao Sang
Xian Zhao
Jiaming Zhang
Zhiyu Lin
AAML
SILM
136
3
0
26 Jul 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples
Jon Vadillo
Roberto Santana
Jose A. Lozano
SILM
AAML
264
21
0
05 Jul 2021
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Xiao Yang
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
AAML
192
48
0
05 Jul 2021
ImageNet Pre-training also Transfers Non-Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jiaming Zhang
Jitao Sang
Qiaomin Yi
Yunfan Yang
Huiwen Dong
Jian Yu
306
4
0
21 Jun 2021
Attack to Fool and Explain Deep Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Naveed Akhtar
M. Jalwana
Bennamoun
Lin Wang
AAML
218
36
0
20 Jun 2021
On Improving Adversarial Transferability of Vision Transformers
International Conference on Learning Representations (ICLR), 2021
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Fahad Shahbaz Khan
Fatih Porikli
ViT
262
107
0
08 Jun 2021
Dominant Patterns: Critical Features Hidden in Deep Neural Networks
Zhixing Ye
S. Qin
Sizhe Chen
Xiaolin Huang
AAML
158
4
0
31 May 2021
Transferable Sparse Adversarial Attack
Ziwen He
Wei Wang
Jing Dong
Tieniu Tan
AAML
191
23
0
31 May 2021
Generating Adversarial Examples with Graph Neural Networks
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Florian Jaeckle
M. P. Kumar
GAN
AAML
137
21
0
30 May 2021
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
Computer Vision and Pattern Recognition (CVPR), 2021
Xunguang Wang
Zheng Zhang
Baoyuan Wu
Fumin Shen
Guangming Lu
AAML
GAN
235
53
0
17 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
325
61
0
29 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Jing Wu
Mingyi Zhou
Ce Zhu
Yipeng Liu
Mehrtash Harandi
Li Li
AAML
188
16
0
22 Apr 2021
Universal Spectral Adversarial Attacks for Deformable Shapes
Computer Vision and Pattern Recognition (CVPR), 2021
Arianna Rampini
Franco Pestarini
Luca Cosmo
Simone Melzi
Emanuele Rodolà
AAML
201
18
0
07 Apr 2021
Universal Adversarial Training with Class-Wise Perturbations
IEEE International Conference on Multimedia and Expo (ICME), 2021
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
200
29
0
07 Apr 2021
Semantically Stealthy Adversarial Attacks against Segmentation Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Zhenhua Chen
Chuhua Wang
David J. Crandall
AAML
231
14
0
05 Apr 2021
On Generating Transferable Targeted Perturbations
IEEE International Conference on Computer Vision (ICCV), 2021
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
278
88
0
26 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
AAML
OOD
MedIm
177
51
0
05 Mar 2021
A Survey On Universal Adversarial Attack
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Chaoning Zhang
Philipp Benz
Chenguo Lin
Adil Karjauv
Jing Wu
In So Kweon
AAML
322
105
0
02 Mar 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chaoning Zhang
Philipp Benz
Adil Karjauv
In So Kweon
AAML
227
47
0
12 Feb 2021
Adversarial Imaging Pipelines
Computer Vision and Pattern Recognition (CVPR), 2021
Buu Phan
Fahim Mannan
Felix Heide
AAML
167
28
0
07 Feb 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
International Conference on Learning Representations (ICLR), 2021
Saehyung Lee
Changhwa Park
Hyungyu Lee
Jihun Yi
Jonghyun Lee
Sungroh Yoon
OODD
316
26
0
17 Jan 2021
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers
Krishna Kanth Nakka
Mathieu Salzmann
AAML
122
9
0
30 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Neural Information Processing Systems (NeurIPS), 2020
Subrat Kishore Dutta
Zhuoran Liu
Martha Larson
AAML
674
146
0
21 Dec 2020
Towards Imperceptible Universal Attacks on Texture Recognition
Yingpeng Deng
Lina Karam
AAML
153
1
0
24 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook
ACM Computing Surveys (ACM CSUR), 2020
B. Liu
Ming Ding
Sina shaham
W. Rahayu
F. Farokhi
Zihuai Lin
273
328
0
24 Nov 2020
Multi-Task Adversarial Attack
Pengxin Guo
Yuancheng Xu
Xiaoyuan Zhang
Yu Zhang
AAML
200
10
0
19 Nov 2020
Data Augmentation via Structured Adversarial Perturbations
Calvin Luo
H. Mobahi
Samy Bengio
AAML
126
5
0
05 Nov 2020
Transferable Universal Adversarial Perturbations Using Generative Models
Atiyeh Hashemi
Andreas Bär
S. Mozaffari
Tim Fingscheidt
AAML
194
19
0
28 Oct 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Neural Information Processing Systems (NeurIPS), 2020
Xiaoyi Dong
Dongdong Chen
Jianmin Bao
Chuan Qin
Lu Yuan
Weiming Zhang
Nenghai Yu
Dong Chen
AAML
163
76
0
26 Oct 2020
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
Yanghao Zhang
Wenjie Ruan
Fu Lee Wang
Xiaowei Huang
AAML
292
27
0
15 Oct 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation
Chaoning Zhang
Philipp Benz
Tooba Imtiaz
In So Kweon
AAML
225
63
0
07 Oct 2020
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