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Impact of White-Box Adversarial Attacks on Convolutional Neural Networks

Impact of White-Box Adversarial Attacks on Convolutional Neural Networks

2 October 2024
Rakesh Podder
Sudipto Ghosh
    AAML
ArXiv (abs)PDFHTML

Papers citing "Impact of White-Box Adversarial Attacks on Convolutional Neural Networks"

14 / 14 papers shown
Title
Untargeted White-box Adversarial Attack with Heuristic Defence Methods
  in Real-time Deep Learning based Network Intrusion Detection System
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System
Khushnaseeb Roshan
Aasim Zafar
Sheikh Burhan Ul Haque
AAML
117
40
0
05 Oct 2023
Thundernna: a white box adversarial attack
Thundernna: a white box adversarial attack
Linfeng Ye
Shayan Mohajer Hamidi
AAML
31
5
0
24 Nov 2021
Making an Invisibility Cloak: Real World Adversarial Attacks on Object
  Detectors
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Zuxuan Wu
Ser-Nam Lim
L. Davis
Tom Goldstein
AAML
138
265
0
31 Oct 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Jiliang Tang
Anil K. Jain
AAML
79
678
0
17 Sep 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
86
191
0
29 May 2019
On Evaluating Adversarial Robustness
On Evaluating Adversarial Robustness
Nicholas Carlini
Anish Athalye
Nicolas Papernot
Wieland Brendel
Jonas Rauber
Dimitris Tsipras
Ian Goodfellow
Aleksander Madry
Alexey Kurakin
ELMAAML
115
905
0
18 Feb 2019
Adversarial Robustness Toolbox v1.0.0
Adversarial Robustness Toolbox v1.0.0
Maria-Irina Nicolae
M. Sinn
Minh-Ngoc Tran
Beat Buesser
Ambrish Rawat
...
Nathalie Baracaldo
Bryant Chen
Heiko Ludwig
Ian Molloy
Ben Edwards
AAMLVLM
91
460
0
03 Jul 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
289
8,928
0
25 Aug 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
321
12,151
0
19 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
282
8,593
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
551
5,914
0
08 Jul 2016
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
120
3,969
0
24 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
160
4,910
0
14 Nov 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,145
0
20 Dec 2014
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