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A Unified Framework for Adversarial Attack and Defense in Constrained
  Feature Space

A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space

2 December 2021
Thibault Simonetto
Salijona Dyrmishi
Salah Ghamizi
Maxime Cordy
Yves Le Traon
    AAML
ArXivPDFHTML

Papers citing "A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space"

5 / 5 papers shown
Title
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
Matan Ben-Tov
Daniel Deutch
Nave Frost
Mahmood Sharif
AAML
94
0
0
20 Jan 2025
Deep generative models as an adversarial attack strategy for tabular
  machine learning
Deep generative models as an adversarial attack strategy for tabular machine learning
Salijona Dyrmishi
Mihaela C. Stoian
Eleonora Giunchiglia
Maxime Cordy
AAML
LMTD
11
0
0
19 Sep 2024
Towards Benchmark Datasets for Machine Learning Based Website Phishing
  Detection: An experimental study
Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study
Abdelhakim Hannousse
Salima Yahiouche
27
64
0
24 Oct 2020
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
228
909
0
21 Apr 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
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