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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

27 May 2022
Alberto Marchisio
Giovanni Caramia
Maurizio Martina
Muhammad Shafique
    AAML
ArXivPDFHTML

Papers citing "fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems"

8 / 8 papers shown
Title
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
Nandish Chattopadhyay
Abdul Basit
B. Ouni
Muhammad Shafique
AAML
28
0
0
01 Mar 2025
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
21
21
0
11 Aug 2023
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
Jenny Schmalfuss
Lukas Mehl
Andrés Bruhn
AAML
22
15
0
11 May 2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine
  Transformations and Adversarial Attacks
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks
Alberto Marchisio
Antonio De Marco
Alessio Colucci
Maurizio Martina
Muhammad Shafique
AAML
15
2
0
08 Apr 2023
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision
  Systems
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems
Amira Guesmi
Muhammad Abdullah Hanif
Muhammad Shafique
AAML
36
17
0
02 Mar 2023
Attacking Motion Estimation with Adversarial Snow
Attacking Motion Estimation with Adversarial Snow
Jenny Schmalfuss
Lukas Mehl
Andrés Bruhn
AAML
16
9
0
20 Oct 2022
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
66
100
0
04 Jan 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
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