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Real-time Detection of Practical Universal Adversarial Perturbations

Real-time Detection of Practical Universal Adversarial Perturbations

16 May 2021
Kenneth T. Co
Luis Muñoz-González
Leslie Kanthan
Emil C. Lupu
    AAML
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Papers citing "Real-time Detection of Practical Universal Adversarial Perturbations"

6 / 6 papers shown
Title
Attention-Based Real-Time Defenses for Physical Adversarial Attacks in
  Vision Applications
Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
15
2
0
19 Nov 2023
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
VLM
AAML
14
20
0
16 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
21
9
0
09 Jun 2022
Defending From Physically-Realizable Adversarial Attacks Through
  Internal Over-Activation Analysis
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis
Giulio Rossolini
F. Nesti
Fabio Brau
Alessandro Biondi
Giorgio Buttazzo
AAML
17
8
0
14 Mar 2022
On the Real-World Adversarial Robustness of Real-Time Semantic
  Segmentation Models for Autonomous Driving
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
Giulio Rossolini
F. Nesti
G. D’Amico
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
AAML
24
37
0
05 Jan 2022
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
287
0
02 Dec 2018
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