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Generating Adversarial Examples with Adversarial Networks

Generating Adversarial Examples with Adversarial Networks

8 January 2018
Chaowei Xiao
Bo-wen Li
Jun-Yan Zhu
Warren He
M. Liu
D. Song
    GAN
    AAML
ArXivPDFHTML

Papers citing "Generating Adversarial Examples with Adversarial Networks"

50 / 137 papers shown
Title
Robust Reinforcement Learning via Genetic Curriculum
Robust Reinforcement Learning via Genetic Curriculum
Yeeho Song
J. Schneider
29
9
0
17 Feb 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
Invertible Image Dataset Protection
Invertible Image Dataset Protection
Kejiang Chen
Xianhan Zeng
Qichao Ying
Sheng Li
Zhenxing Qian
Xinpeng Zhang
33
7
0
29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack
  Against Neural Networks
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Weiran Lin
Keane Lucas
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
AAML
31
5
0
28 Dec 2021
Being Friends Instead of Adversaries: Deep Networks Learn from Data
  Simplified by Other Networks
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
Simone Marullo
Matteo Tiezzi
Marco Gori
S. Melacci
AAML
GAN
27
2
0
18 Dec 2021
3D-VField: Adversarial Augmentation of Point Clouds for Domain
  Generalization in 3D Object Detection
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
M. N. Mahani
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
29
52
0
09 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions:
  Benchmarking Robustness and Simple Baselines
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
Jiachen Sun
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Dan Hendrycks
Jihun Hamm
Z. Morley Mao
AAML
41
21
0
01 Dec 2021
Adaptive Perturbation for Adversarial Attack
Adaptive Perturbation for Adversarial Attack
Zheng Yuan
Jie Zhang
Zhaoyan Jiang
Liangliang Li
Shiguang Shan
AAML
29
3
0
27 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
  Neural Network Systems
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
41
53
0
19 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations
Sparse Adversarial Video Attacks with Spatial Transformations
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Q. Ni
AAML
30
18
0
10 Nov 2021
Generative Dynamic Patch Attack
Generative Dynamic Patch Attack
Xiang Li
Shihao Ji
AAML
30
22
0
08 Nov 2021
Adversarial examples by perturbing high-level features in intermediate
  decoder layers
Adversarial examples by perturbing high-level features in intermediate decoder layers
Vojtěch Čermák
Lukáš Adam
AAML
GAN
35
0
0
14 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper
Max Nadeau
Dylan Hadfield-Menell
Gabriel Kreiman
AAML
53
27
0
07 Oct 2021
AdvRush: Searching for Adversarially Robust Neural Architectures
AdvRush: Searching for Adversarially Robust Neural Architectures
J. Mok
Byunggook Na
Hyeokjun Choe
Sungroh Yoon
OOD
AAML
22
44
0
03 Aug 2021
On the Certified Robustness for Ensemble Models and Beyond
On the Certified Robustness for Ensemble Models and Beyond
Zhuolin Yang
Linyi Li
Xiaojun Xu
B. Kailkhura
Tao Xie
Bo-wen Li
AAML
29
48
0
22 Jul 2021
Discriminator-Free Generative Adversarial Attack
Discriminator-Free Generative Adversarial Attack
Shaohao Lu
Yuqiao Xian
Ke Yan
Yi Hu
Xing Sun
Xiaowei Guo
Feiyue Huang
Weishi Zheng
AAML
GAN
35
20
0
20 Jul 2021
Improving Transferability of Adversarial Patches on Face Recognition
  with Generative Models
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models
Zihao Xiao
Xianfeng Gao
Chilin Fu
Yinpeng Dong
Wei-zhe Gao
Xiaolu Zhang
Jun Zhou
Jun Zhu
AAML
CVBM
39
109
0
29 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion
  based Perception in Autonomous Driving Under Physical-World Attacks
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*
Ningfei Wang*
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Qi Alfred Chen
Mingyan D. Liu
Bo-wen Li
AAML
29
218
0
17 Jun 2021
Detect and remove watermark in deep neural networks via generative
  adversarial networks
Detect and remove watermark in deep neural networks via generative adversarial networks
Haoqi Wang
Mingfu Xue
Shichang Sun
Yushu Zhang
Jian Wang
Weiqiang Liu
AAML
26
12
0
15 Jun 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural
  Networks
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
Jinyin Chen
Ruoxi Chen
Haibin Zheng
Zhaoyan Ming
Wenrong Jiang
Chen Cui
AAML
25
10
0
14 May 2021
Adaptive Adversarial Training for Meta Reinforcement Learning
Adaptive Adversarial Training for Meta Reinforcement Learning
Shiqi Chen
Zhengyu Chen
Donglin Wang
30
6
0
27 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
Yunrui Yu
Xitong Gao
Chengzhong Xu
AAML
FedML
33
44
0
19 Apr 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification
Grey-box Adversarial Attack And Defence For Sentiment Classification
Ying Xu
Xu Zhong
Antonio Jimeno Yepes
Jey Han Lau
VLM
AAML
16
53
0
22 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation
  Profiles
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles
G. Cantareira
R. Mello
F. Paulovich
AAML
24
9
0
18 Mar 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective
Understanding Robustness in Teacher-Student Setting: A New Perspective
Zhuolin Yang
Zhaoxi Chen
Tiffany Cai
Xinyun Chen
Bo-wen Li
Yuandong Tian
AAML
35
2
0
25 Feb 2021
Generating Out of Distribution Adversarial Attack using Latent Space
  Poisoning
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Ujjwal Upadhyay
Prerana Mukherjee
39
7
0
09 Dec 2020
A survey on practical adversarial examples for malware classifiers
A survey on practical adversarial examples for malware classifiers
Daniel Park
B. Yener
AAML
44
14
0
06 Nov 2020
Transferable Universal Adversarial Perturbations Using Generative Models
Transferable Universal Adversarial Perturbations Using Generative Models
Atiyeh Hashemi
Andreas Bär
S. Mozaffari
Tim Fingscheidt
AAML
30
17
0
28 Oct 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Xiaoyi Dong
Dongdong Chen
Jianmin Bao
Chuan Qin
Lu Yuan
Weiming Zhang
Nenghai Yu
Dong Chen
AAML
18
63
0
26 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
28
64
0
14 Oct 2020
Query complexity of adversarial attacks
Query complexity of adversarial attacks
Grzegorz Gluch
R. Urbanke
AAML
27
5
0
02 Oct 2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition
  Systems
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
Haoliang Li
Yufei Wang
Xiaofei Xie
Yang Liu
Shiqi Wang
Renjie Wan
Lap-Pui Chau
City University of Hong Kong
AAML
18
32
0
15 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards
  the Defender's Perspective
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
33
157
0
08 Sep 2020
Adversarially Robust Neural Architectures
Adversarially Robust Neural Architectures
Minjing Dong
Yanxi Li
Yunhe Wang
Chang Xu
AAML
OOD
42
48
0
02 Sep 2020
Towards Visual Distortion in Black-Box Attacks
Towards Visual Distortion in Black-Box Attacks
Nannan Li
Zhenzhong Chen
30
12
0
21 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
Yuzhen Ding
Nupur Thakur
Baoxin Li
AAML
24
3
0
20 Jul 2020
Fast Real-time Counterfactual Explanations
Fast Real-time Counterfactual Explanations
Yunxia Zhao
17
15
0
11 Jul 2020
Adversarial Example Games
Adversarial Example Games
A. Bose
Gauthier Gidel
Hugo Berrard
Andre Cianflone
Pascal Vincent
Simon Lacoste-Julien
William L. Hamilton
AAML
GAN
38
51
0
01 Jul 2020
GAP++: Learning to generate target-conditioned adversarial examples
GAP++: Learning to generate target-conditioned adversarial examples
Xiaofeng Mao
YueFeng Chen
Yuhong Li
Yuan He
Hui Xue
AAML
15
8
0
09 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Huichen Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Bo-wen Li
AAML
21
177
0
28 May 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
Kibok Lee
Zhuoyuan Chen
Xinchen Yan
R. Urtasun
Ersin Yumer
3DPC
23
30
0
24 May 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Xinjian Luo
Xiangqi Zhu
FedML
75
25
0
27 Apr 2020
Ensemble Generative Cleaning with Feedback Loops for Defending
  Adversarial Attacks
Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks
Jianhe Yuan
Zhihai He
AAML
32
22
0
23 Apr 2020
Adversarial Attacks on Monocular Depth Estimation
Adversarial Attacks on Monocular Depth Estimation
Ziqi Zhang
Xinge Zhu
Yingwei Li
Xiangqun Chen
Yao Guo
AAML
MDE
30
25
0
23 Mar 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural
  Styles
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
•. A. K. Qin
Yun Yang
AAML
167
224
0
08 Mar 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction
Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj
Y. Bresler
Bo-wen Li
OOD
AAML
29
50
0
26 Feb 2020
AI-GAN: Attack-Inspired Generation of Adversarial Examples
AI-GAN: Attack-Inspired Generation of Adversarial Examples
Tao Bai
Jun Zhao
Jinlin Zhu
Shoudong Han
Jiefeng Chen
Bo-wen Li
Alex C. Kot
GAN
39
48
0
06 Feb 2020
CAG: A Real-time Low-cost Enhanced-robustness High-transferability
  Content-aware Adversarial Attack Generator
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator
Huy Phan
Yi Xie
Siyu Liao
Jie Chen
Bo Yuan
AAML
24
20
0
16 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas
Yuxuan Zhang
Florian Kerschbaum
MLAU
FedML
AAML
39
144
0
02 Dec 2019
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