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Generating Adversarial Examples with Adversarial Networks

Generating Adversarial Examples with Adversarial Networks

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

Papers citing "Generating Adversarial Examples with Adversarial Networks"

50 / 380 papers shown
Title
AdvGen: Physical Adversarial Attack on Face Presentation Attack
  Detection Systems
AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems
Sai Amrit Patnaik
Shivali Chansoriya
Anil K. Jain
A. Namboodiri
AAML
GAN
37
0
0
20 Nov 2023
Robust Text Classification: Analyzing Prototype-Based Networks
Robust Text Classification: Analyzing Prototype-Based Networks
Zhivar Sourati
D. Deshpande
Filip Ilievski
Kiril Gashteovski
S. Saralajew
OOD
OffRL
47
2
0
11 Nov 2023
Adversarial Examples in the Physical World: A Survey
Adversarial Examples in the Physical World: A Survey
Jiakai Wang
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
54
4
0
01 Nov 2023
A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip Torr
AAML
36
27
0
26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David Evans
AAML
44
6
0
26 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron
  attribution
DANAA: Towards transferable attacks with double adversarial neuron attribution
Zhibo Jin
Zhiyu Zhu
Xinyi Wang
Jiayu Zhang
Jun Shen
Huaming Chen
AAML
27
9
0
16 Oct 2023
Evading Detection Actively: Toward Anti-Forensics against Forgery
  Localization
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
Long Zhuo
Shenghai Luo
Shunquan Tan
Han Chen
Bin Li
Jiwu Huang
AAML
32
0
0
16 Oct 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable
  Evasion Attacks
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks
Ofir Bar Tal
Adi Haviv
Amit H. Bermano
AAML
28
0
0
05 Oct 2023
Counterfactual Image Generation for adversarially robust and
  interpretable Classifiers
Counterfactual Image Generation for adversarially robust and interpretable Classifiers
Rafael Bischof
Florian Scheidegger
Michael A. Kraus
A. Malossi
AAML
43
2
0
01 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
45
16
0
01 Oct 2023
On the Computational Entanglement of Distant Features in Adversarial
  Machine Learning
On the Computational Entanglement of Distant Features in Adversarial Machine Learning
Yen-Lung Lai
Xingbo Dong
Zhe Jin
AAML
13
0
0
27 Sep 2023
On quantifying and improving realism of images generated with diffusion
On quantifying and improving realism of images generated with diffusion
Yunzhu Chen
Naveed Akhtar
Nur Al Hasan Haldar
Ajmal Mian
32
4
0
26 Sep 2023
Vulnerabilities in Video Quality Assessment Models: The Challenge of
  Adversarial Attacks
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
Ao Zhang
Yu Ran
Weixuan Tang
Yuan-Gen Wang
34
13
0
24 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion
  Perturbations
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
Hanjiang Hu
Zuxin Liu
Linyi Li
Jiacheng Zhu
Ding Zhao
35
0
0
22 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
Hongge Chen
Zhao Chen
Gregory P. Meyer
Dennis Park
Carl Vondrick
Ashish Shrivastava
Yuning Chai
3DPC
34
3
0
11 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
Hondamunige Prasanna Silva
Lorenzo Seidenari
A. Bimbo
DiffM
49
6
0
07 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical
  Cyber-Physical Systems
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
Sydney Pugh
I. Ruchkin
Insup Lee
James Weimer
AAML
OOD
18
0
0
01 Sep 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
36
7
0
29 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora
Kartik Patwari
Syed Mahbub Hafiz
Zubair Shafiq
Chen-Nee Chuah
AAML
27
2
0
16 Aug 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current
  Trends, Categorization, Applications, Research Challenges, and Future Outlook
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammed Shafique
AAML
34
21
0
11 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through
  Gradient Aggregation
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Xuantong Liu
Yaoyao Zhong
Yuhang Zhang
Lixiong Qin
Weihong Deng
AAML
40
25
0
11 Aug 2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory
  Prediction Models
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
Liang Zhang
Nathaniel Xu
Pengfei Yang
Gao Jin
Cheng-Chao Huang
Lijun Zhang
41
8
0
11 Aug 2023
On Neural Network approximation of ideal adversarial attack and
  convergence of adversarial training
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training
Rajdeep Haldar
Qifan Song
AAML
31
0
0
30 Jul 2023
When Measures are Unreliable: Imperceptible Adversarial Perturbations
  toward Top-$k$ Multi-Label Learning
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-kkk Multi-Label Learning
Yuchen Sun
Qianqian Xu
Zitai Wang
Qingming Huang
AAML
30
1
0
27 Jul 2023
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion
  Models
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Xuelong Dai
Kaisheng Liang
Bin Xiao
DiffM
23
24
0
24 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
41
2
0
17 Jul 2023
Towards quantum enhanced adversarial robustness in machine learning
Towards quantum enhanced adversarial robustness in machine learning
Maxwell T. West
S. Tsang
J. S. Low
C. Hill
C. Leckie
Lloyd C. L. Hollenberg
S. Erfani
Muhammad Usman
AAML
OOD
25
53
0
22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability
Rethinking the Backward Propagation for Adversarial Transferability
Xiaosen Wang
Kangheng Tong
Kun He
AAML
SILM
34
25
0
22 Jun 2023
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment
  Analysis
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis
Sebastian-Vasile Echim
Ruazvan-Alexandru Smuadu
Andrei-Marius Avram
Dumitru-Clementin Cercel
Florin-Catalin Pop
8
5
0
13 Jun 2023
Adversarial Attack Based on Prediction-Correction
Adversarial Attack Based on Prediction-Correction
Chen Wan
Fangjun Huang
AAML
27
4
0
02 Jun 2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for
  Facial Privacy Protection
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
Jiang-Long Liu
Chun Pong Lau
Ramalingam Chellappa
DiffM
34
31
0
23 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
57
51
0
18 May 2023
Diversifying the High-level Features for better Adversarial
  Transferability
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
54
18
0
20 Apr 2023
Adversarial Examples from Dimensional Invariance
Adversarial Examples from Dimensional Invariance
Benjamin L. Badger
26
0
0
13 Apr 2023
Generating Adversarial Attacks in the Latent Space
Generating Adversarial Attacks in the Latent Space
Nitish Shukla
Sudipta Banerjee
36
8
0
10 Apr 2023
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation
  Operators
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
Xin Zhang
Yuqi Song
Xiang Wang
Fei Zuo
MedIm
DiffM
20
2
0
03 Apr 2023
Zero-shot Model Diagnosis
Zero-shot Model Diagnosis
Jinqi Luo
Zhaoning Wang
Chen Henry Wu
Dong Huang
Fernando de la Torre
VLM
29
21
0
27 Mar 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and
  Applications
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications
Junhao Dong
Junxi Chen
Xiaohua Xie
Jianhuang Lai
Hechang Chen
AAML
MedIm
40
16
0
24 Mar 2023
Physically Adversarial Infrared Patches with Learnable Shapes and
  Locations
Physically Adversarial Infrared Patches with Learnable Shapes and Locations
Xingxing Wei
Jie Yu
Yao Huang
AAML
46
38
0
24 Mar 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Bram Wallace
Akash Gokul
Stefano Ermon
Nikhil Naik
124
71
0
23 Mar 2023
Semantic Image Attack for Visual Model Diagnosis
Semantic Image Attack for Visual Model Diagnosis
Jinqi Luo
Zhaoning Wang
Chenhuan Wu
Dong Huang
Fernando de la Torre
AAML
33
1
0
23 Mar 2023
Boosting Verified Training for Robust Image Classifications via
  Abstraction
Boosting Verified Training for Robust Image Classifications via Abstraction
Zhaodi Zhang
Zhiyi Xue
Yang Chen
Si Liu
Yueling Zhang
Jiaheng Liu
Min Zhang
56
4
0
21 Mar 2023
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented
  Reality
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality
Weiquan Liu
Shijun Zheng
Cheng-i Wang
3DPC
AAML
30
2
0
12 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
Ekram Hossain
H. Vincent Poor
AAML
31
18
0
11 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the
  Generation of Adversarial Examples
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
Jinwei Wang
Hao Wu
Haihua Wang
Jiawei Zhang
X. Luo
Bin Ma
AAML
31
0
0
08 Mar 2023
Defending against Adversarial Audio via Diffusion Model
Defending against Adversarial Audio via Diffusion Model
Shutong Wu
Jiong Wang
Ming-Yu Liu
Weili Nie
Chaowei Xiao
DiffM
40
25
0
02 Mar 2023
Chaotic Variational Auto encoder-based Adversarial Machine Learning
Chaotic Variational Auto encoder-based Adversarial Machine Learning
Pavan Venkata Sainadh Reddy
Yelleti Vivek
Gopi Pranay
V. Ravi
DRL
AAML
21
0
0
25 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training
Less is More: Data Pruning for Faster Adversarial Training
Yize Li
Pu Zhao
Xinyu Lin
B. Kailkhura
Ryan Goldh
AAML
25
9
0
23 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
49
21
0
19 Feb 2023
Defensive ML: Defending Architectural Side-channels with Adversarial
  Obfuscation
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Hyoungwook Nam
Raghavendra Pradyumna Pothukuchi
Yangqiu Song
Nam Sung Kim
Josep Torrellas
AAML
19
2
0
03 Feb 2023
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