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2410.02043
Cited By
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks
2 October 2024
Rakesh Podder
Sudipto Ghosh
AAML
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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
Khushnaseeb Roshan
Aasim Zafar
Sheikh Burhan Ul Haque
AAML
117
40
0
05 Oct 2023
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
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
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
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
86
191
0
29 May 2019
On Evaluating Adversarial Robustness
Nicholas Carlini
Anish Athalye
Nicolas Papernot
Wieland Brendel
Jonas Rauber
Dimitris Tsipras
Ian Goodfellow
Aleksander Madry
Alexey Kurakin
ELM
AAML
115
905
0
18 Feb 2019
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
AAML
VLM
91
460
0
03 Jul 2018
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
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
321
12,151
0
19 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
282
8,593
0
16 Aug 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
551
5,914
0
08 Jul 2016
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
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
160
4,910
0
14 Nov 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
282
19,145
0
20 Dec 2014
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