Adversarial Text

21 papers with code • 0 benchmarks • 1 datasets

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Use these libraries to find Adversarial Text models and implementations
3 papers

Most implemented papers

Generative Adversarial Text to Image Synthesis

hanzhanggit/StackGAN 17 May 2016

Automatic synthesis of realistic images from text would be interesting and useful, but current AI systems are still far from this goal.

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

jind11/TextFooler 27 Jul 2019

Machine learning algorithms are often vulnerable to adversarial examples that have imperceptible alterations from the original counterparts but can fool the state-of-the-art models.

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack

aisecure/AdvCodec EMNLP 2020

In particular, we propose a tree-based autoencoder to embed the discrete text data into a continuous representation space, upon which we optimize the adversarial perturbation.

Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

QData/deepWordBug 13 Jan 2018

Although various techniques have been proposed to generate adversarial samples for white-box attacks on text, little attention has been paid to black-box attacks, which are more realistic scenarios.

BAE: BERT-based Adversarial Examples for Text Classification

QData/TextAttack EMNLP 2020

Modern text classification models are susceptible to adversarial examples, perturbed versions of the original text indiscernible by humans which get misclassified by the model.

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

QData/TextAttack EMNLP 2020

TextAttack also includes data augmentation and adversarial training modules for using components of adversarial attacks to improve model accuracy and robustness.

End-to-End Adversarial Text-to-Speech

yanggeng1995/EATS ICLR 2021

Modern text-to-speech synthesis pipelines typically involve multiple processing stages, each of which is designed or learnt independently from the rest.

Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples

QData/TextAttack EMNLP (BlackboxNLP) 2020

We study the behavior of several black-box search algorithms used for generating adversarial examples for natural language processing (NLP) tasks.

DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation

CatherineWong/dancin_seq2seq 14 Dec 2017

In this work, we introduce DANCin SEQ2SEQ, a GAN-inspired algorithm for adversarial text example generation targeting largely black-box text classifiers.

Adversarial Text Generation via Feature-Mover's Distance

vijini/FM-GAN NeurIPS 2018

However, the discrete nature of text hinders the application of GAN to text-generation tasks.