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Simple Perturbations Subvert Ethereum Phishing Transactions Detection:
  An Empirical Analysis

Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis

6 August 2024
Ahod Alghureid
David Mohaisen
    AAML
ArXivPDFHTML

Papers citing "Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis"

4 / 4 papers shown
Title
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
Ahod Alghuried
Ali Alkinoon
Abdulaziz Alghamdi
Soohyeon Choi
Manar Mohaisen
David A. Mohaisen
AAML
27
0
0
24 Apr 2025
Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions
Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions
Ahod Alghuried
Abdulaziz Alghamdi
Ali Alkinoon
Soohyeon Choi
Manar Mohaisen
David A. Mohaisen
22
0
0
24 Apr 2025
Adversarial Attacks for Tabular Data: Application to Fraud Detection and
  Imbalanced Data
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data
F. Cartella
Orlando Anunciação
Yuki Funabiki
D. Yamaguchi
Toru Akishita
Olivier Elshocht
AAML
61
71
0
20 Jan 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
225
676
0
19 Oct 2020
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