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Perturbation Analysis of Gradient-based Adversarial Attacks

Perturbation Analysis of Gradient-based Adversarial Attacks

Pattern Recognition Letters (Pattern Recognit. Lett.), 2020
2 June 2020
Utku Ozbulak
Manvel Gasparyan
W. D. Neve
Arnout Van Messem
    AAML
ArXiv (abs)PDFHTML

Papers citing "Perturbation Analysis of Gradient-based Adversarial Attacks"

5 / 5 papers shown
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
428
2
0
07 May 2025
One-Index Vector Quantization Based Adversarial Attack on Image
  Classification
One-Index Vector Quantization Based Adversarial Attack on Image ClassificationPattern Recognition Letters (PR), 2024
Haiju Fan
Xiaona Qin
Shuang Chen
Hubert P. H. Shum
Ming Li
180
2
0
02 Sep 2024
Security of Machine Learning-Based Anomaly Detection in Cyber Physical
  Systems
Security of Machine Learning-Based Anomaly Detection in Cyber Physical SystemsInternational Conference on Computer Communications and Networks (ICCCN), 2022
Zahra Jadidi
S. Pal
Nithesh Nayak K
A. Selvakkumar
C. Chang
Maedeh Beheshti
A. Jolfaei
AAML
266
18
0
12 Jun 2022
Selection of Source Images Heavily Influences the Effectiveness of
  Adversarial Attacks
Selection of Source Images Heavily Influences the Effectiveness of Adversarial AttacksBritish Machine Vision Conference (BMVC), 2021
Utku Ozbulak
Esla Timothy Anzaku
W. D. Neve
Arnout Van Messem
AAML
446
12
0
14 Jun 2021
Investigating the significance of adversarial attacks and their relation
  to interpretability for radar-based human activity recognition systems
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systemsComputer Vision and Image Understanding (CVIU), 2021
Utku Ozbulak
Baptist Vandersmissen
A. Jalalvand
Ivo Couckuyt
Arnout Van Messem
W. D. Neve
AAML
141
20
0
26 Jan 2021
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