ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1607.02533
  4. Cited By
Adversarial examples in the physical world
v1v2v3v4 (latest)

Adversarial examples in the physical world

8 July 2016
Alexey Kurakin
Ian Goodfellow
Samy Bengio
    SILMAAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown
Title
Jacobian Norm with Selective Input Gradient Regularization for Improved
  and Interpretable Adversarial Defense
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense
Deyin Liu
Lin Wu
Haifeng Zhao
F. Boussaïd
Bennamoun
Xianghua Xie
AAML
75
3
0
09 Jul 2022
A law of adversarial risk, interpolation, and label noise
A law of adversarial risk, interpolation, and label noise
Daniel Paleka
Amartya Sanyal
NoLaAAML
103
10
0
08 Jul 2022
Guiding the retraining of convolutional neural networks against
  adversarial inputs
Guiding the retraining of convolutional neural networks against adversarial inputs
Francisco Durán
Silverio Martínez-Fernández
Michael Felderer
Xavier Franch
AAML
117
1
0
08 Jul 2022
On the Relationship Between Adversarial Robustness and Decision Region
  in Deep Neural Network
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network
Seongjin Park
Haedong Jeong
Giyoung Jeon
Jaesik Choi
AAML
43
1
0
07 Jul 2022
Adversarial Robustness of Visual Dialog
Adversarial Robustness of Visual Dialog
Lu Yu
Verena Rieser
AAML
83
0
0
06 Jul 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial
  Examples
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
Giovanni Apruzzese
Rodion Vladimirov
A.T. Tastemirova
Pavel Laskov
AAML
102
16
0
04 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level
  Physically-Grounded Augmentations
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Tianlong Chen
Peihao Wang
Zhiwen Fan
Zhangyang Wang
106
55
0
04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zhangyang Wang
107
42
0
04 Jul 2022
Counterfactually Measuring and Eliminating Social Bias in
  Vision-Language Pre-training Models
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models
Yi Zhang
Junyan Wang
Jitao Sang
93
28
0
03 Jul 2022
Abstraction and Refinement: Towards Scalable and Exact Verification of
  Neural Networks
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks
Jiaxiang Liu
Yunhan Xing
Xiaomu Shi
Fu Song
Zhiwu Xu
Zhong Ming
68
11
0
02 Jul 2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean
  Label
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
Shengshan Hu
Ziqi Zhou
Yechao Zhang
L. Zhang
Yifeng Zheng
Yuanyuan HE
Hai Jin
AAML
107
46
0
01 Jul 2022
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples
  Detectors
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors
Federica Granese
Marine Picot
Marco Romanelli
Francisco Messina
Pablo Piantanida
AAML
82
3
0
30 Jun 2022
Towards out of distribution generalization for problems in mechanics
Towards out of distribution generalization for problems in mechanics
Lingxiao Yuan
Harold S. Park
Emma Lejeune
OODAI4CE
88
18
0
29 Jun 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and
  Member Models
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models
Lele Wang
B. Liu
UQCV
57
5
0
29 Jun 2022
Empirical Evaluation of Physical Adversarial Patch Attacks Against
  Overhead Object Detection Models
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models
Gavin Hartnett
Li Ang Zhang
Caolionn L O'Connell
A. Lohn
Jair Aguirre
AAML
98
3
0
25 Jun 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Baoyuan Wu
Hongrui Chen
Ruotong Wang
Zihao Zhu
Shaokui Wei
Danni Yuan
Chaoxiao Shen
ELMAAML
138
146
0
25 Jun 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
108
5
0
23 Jun 2022
Understanding the effect of sparsity on neural networks robustness
Understanding the effect of sparsity on neural networks robustness
Lukas Timpl
R. Entezari
Hanie Sedghi
Behnam Neyshabur
O. Saukh
94
12
0
22 Jun 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method
Diversified Adversarial Attacks based on Conjugate Gradient Method
Keiichiro Yamamura
Haruki Sato
Nariaki Tateiwa
Nozomi Hata
Toru Mitsutake
Issa Oe
Hiroki Ishikura
Katsuki Fujisawa
AAML
98
14
0
20 Jun 2022
Minimum Noticeable Difference based Adversarial Privacy Preserving Image
  Generation
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation
Wen Sun
Jian Jin
Weisi Lin
AAML
83
19
0
17 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark
  Knowledge
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge
Dingcheng Yang
Zihao Xiao
Wenjian Yu
AAML
83
5
0
16 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Abhijith Sharma
Yijun Bian
Phil Munz
Apurva Narayan
VLMAAML
82
20
0
16 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection
Gradient-Based Adversarial and Out-of-Distribution Detection
Jinsol Lee
Mohit Prabhushankar
Ghassan AlRegib
UQCV
169
14
0
16 Jun 2022
Local Identifiability of Deep ReLU Neural Networks: the Theory
Local Identifiability of Deep ReLU Neural Networks: the Theory
Joachim Bona-Pellissier
Franccois Malgouyres
François Bachoc
FAtt
114
7
0
15 Jun 2022
Fast and Reliable Evaluation of Adversarial Robustness with
  Minimum-Margin Attack
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Ruize Gao
Jiongxiao Wang
Kaiwen Zhou
Feng Liu
Binghui Xie
Gang Niu
Bo Han
James Cheng
AAML
48
15
0
15 Jun 2022
Adversarial Vulnerability of Randomized Ensembles
Adversarial Vulnerability of Randomized Ensembles
Hassan Dbouk
Naresh R Shanbhag
AAML
61
7
0
14 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at
  Scale
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Gaoyuan Zhang
Songtao Lu
Yihua Zhang
Xiangyi Chen
Pin-Yu Chen
Quanfu Fan
Lee Martie
L. Horesh
Min-Fong Hong
Sijia Liu
OOD
73
12
0
13 Jun 2022
Defending Adversarial Examples by Negative Correlation Ensemble
Defending Adversarial Examples by Negative Correlation Ensemble
Wenjian Luo
Hongwei Zhang
Linghao Kong
Zhijian Chen
Jiaheng Zhang
AAML
32
1
0
11 Jun 2022
Improving the Adversarial Robustness of NLP Models by Information
  Bottleneck
Improving the Adversarial Robustness of NLP Models by Information Bottleneck
Ce Zhang
Xiang Zhou
Yixin Wan
Xiaoqing Zheng
Kai-Wei Chang
Cho-Jui Hsieh
73
27
0
11 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks
Early Transferability of Adversarial Examples in Deep Neural Networks
Oriel BenShmuel
AAML
34
0
0
09 Jun 2022
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of
  Adversarial Robustness of Vision Models
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models
F. Nesti
Giulio Rossolini
G. D’Amico
Alessandro Biondi
Giorgio Buttazzo
AAML
82
9
0
09 Jun 2022
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
Qiyu Hu
Guangyi Zhang
Zhijin Qin
Yunlong Cai
Guanding Yu
Geoffrey Ye Li
AAML
96
150
0
08 Jun 2022
Improving Adversarial Robustness by Putting More Regularizations on Less
  Robust Samples
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Dongyoon Yang
Insung Kong
Yongdai Kim
OODAAML
80
10
0
07 Jun 2022
Robust Adversarial Attacks Detection based on Explainable Deep
  Reinforcement Learning For UAV Guidance and Planning
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning
Tom Hickling
Nabil Aouf
P. Spencer
AAML
38
56
0
06 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical
  Analysis
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis
Raphael Ettedgui
Alexandre Araujo
Rafael Pinot
Y. Chevaleyre
Jamal Atif
AAML
67
3
0
03 Jun 2022
The Importance of Image Interpretation: Patterns of Semantic
  Misclassification in Real-World Adversarial Images
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images
Zhengyu Zhao
Nga Dang
Martha Larson
48
0
0
03 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs
  for Medical Image Segmentation and Detection
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
Linhai Ma
Liang Liang
OOD
81
6
0
02 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Chen-Hao Hu
Yilong Wang
Kalibinuer Tiliwalidi
Wen Li
AAML
118
17
0
02 Jun 2022
Improving the Robustness and Generalization of Deep Neural Network with
  Confidence Threshold Reduction
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAMLOOD
65
1
0
02 Jun 2022
On the reversibility of adversarial attacks
On the reversibility of adversarial attacks
C. Li
Ricardo Sánchez-Matilla
Ali Shahin Shamsabadi
Riccardo Mazzon
Andrea Cavallaro
AAML
47
2
0
01 Jun 2022
Attack-Agnostic Adversarial Detection
Attack-Agnostic Adversarial Detection
Jiaxin Cheng
Mohamed Hussein
J. Billa
Wael AbdAlmageed
AAML
63
0
0
01 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning
  Systems
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Zeyan Liu
Fengjun Li
Jingqiang Lin
Zhu Li
Bo Luo
AAML
56
2
0
31 May 2022
Exact Feature Collisions in Neural Networks
Exact Feature Collisions in Neural Networks
Utku Ozbulak
Manvel Gasparyan
Shodhan Rao
W. D. Neve
Arnout Van Messem
AAML
56
1
0
31 May 2022
Searching for the Essence of Adversarial Perturbations
Searching for the Essence of Adversarial Perturbations
Dennis Y. Menn
Tzu-hsun Feng
Hung-yi Lee
AAML
26
1
0
30 May 2022
Securing AI-based Healthcare Systems using Blockchain Technology: A
  State-of-the-Art Systematic Literature Review and Future Research Directions
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions
Rucha Shinde
S. Patil
K. Kotecha
V. Potdar
Ganeshsree Selvachandran
Ajith Abraham
53
33
0
30 May 2022
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain
  EEG-based Deep Learning Model
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model
Hanqi Wang
Xiaoguang Zhu
Tao Chen
Chengfang Li
Liang Song
FAtt
67
5
0
30 May 2022
Mixture GAN For Modulation Classification Resiliency Against Adversarial
  Attacks
Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks
Eyad Shtaiwi
Ahmed El Ouadrhiri
Majid Moradikia
Salma Sultana
Ahmed M Abdelhadi
Zhu Han
AAMLGAN
52
8
0
29 May 2022
Superclass Adversarial Attack
Superclass Adversarial Attack
Soichiro Kumano
Hiroshi Kera
T. Yamasaki
AAML
72
1
0
29 May 2022
Prune and distill: similar reformatting of image information along rat
  visual cortex and deep neural networks
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
P. Muratore
S. Tafazoli
Eugenio Piasini
Alessandro Laio
D. Zoccolan
42
8
0
27 May 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating
  Weather Conditions on the Camera Lens of Autonomous Systems
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems
Alberto Marchisio
Giovanni Caramia
Maurizio Martina
Mohamed Bennai
AAML
70
8
0
27 May 2022
Previous
123...181920...545556
Next