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CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks
28 January 2019
Alberto Marchisio
Giorgio Nanfa
Faiq Khalid
Muhammad Abdullah Hanif
Maurizio Martina
Mohamed Bennai
GAN
AAML
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Papers citing
"CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks"
8 / 8 papers shown
Title
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks
Alberto Marchisio
Antonio De Marco
Alessio Colucci
Maurizio Martina
Mohamed Bennai
AAML
25
2
0
08 Apr 2023
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
33
8
0
27 May 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Mohamed Bennai
36
13
0
18 Apr 2022
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Mohamed Bennai
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Mohamed Bennai
BDL
59
140
0
21 Dec 2020
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Rida El-Allami
Alberto Marchisio
Mohamed Bennai
Ihsen Alouani
AAML
19
38
0
09 Dec 2020
On the Vulnerability of Capsule Networks to Adversarial Attacks
Félix D. P. Michels
Tobias Uelwer
Eric Upschulte
Stefan Harmeling
AAML
23
24
0
09 Jun 2019
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,847
0
08 Jul 2016
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