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Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective
  Genetic Optimization Guided By Deep Networks
v1v2 (latest)

Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks

8 November 2020
Alex Mathai
Shreya Khare
Srikanth G. Tamilselvam
Senthil Mani
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks"

4 / 4 papers shown
Enhancing Robustness of AI Offensive Code Generators via Data
  Augmentation
Enhancing Robustness of AI Offensive Code Generators via Data AugmentationEmpirical Software Engineering (EMSE), 2023
Cristina Improta
Pietro Liguori
R. Natella
B. Cukic
Domenico Cotroneo
AAML
428
10
0
08 Jun 2023
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
Cyberbullying Classifiers are Sensitive to Model-Agnostic PerturbationsInternational Conference on Language Resources and Evaluation (LREC), 2022
Chris Emmery
Ákos Kádár
Grzegorz Chrupała
Walter Daelemans
247
8
0
17 Jan 2022
Effective and Imperceptible Adversarial Textual Attack via
  Multi-objectivization
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivizationACM Transactions on Evolutionary Learning and Optimization (TELO), 2021
Shengcai Liu
Ning Lu
W. Hong
Chao Qian
Ke Tang
AAML
469
19
0
02 Nov 2021
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
1.3K
4,945
0
28 Feb 2017
1
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