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Adversarial Text

8 papers with code ยท Adversarial

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Improving Adversarial Text Generation by Modeling the Distant Future

4 May 2020

Auto-regressive text generation models usually focus on local fluency, and may cause inconsistent semantic meaning in long text generation.

ADVERSARIAL TEXT IMITATION LEARNING TEXT GENERATION

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation

12 Mar 2020

To this end, we introduce a cooperative training paradigm, where a language model is cooperatively trained with the generator and we utilize the language model to efficiently shape the data distribution of the generator against mode collapse.

ADVERSARIAL TEXT LANGUAGE MODELLING META-LEARNING TEXT GENERATION

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

10 Mar 2020

It can attack text classification models with a higher success rate than existing methods, and provide acceptable quality for humans in the meantime.

ADVERSARIAL TEXT SENTIMENT ANALYSIS TEXT CLASSIFICATION TEXT GENERATION

Playing to Learn Better: Repeated Games for Adversarial Learning with Multiple Classifiers

10 Feb 2020

The objective of the adversary is to evade the learner's prediction mechanism by sending adversarial queries that result in erroneous class prediction by the learner, while the learner's objective is to reduce the incorrect prediction of these adversarial queries without degrading the prediction quality of clean queries.

ADVERSARIAL TEXT

FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications

31 Jan 2020

In this paper, we present a novel algorithm, FastWordBug, to efficiently generate small text perturbations in a black-box setting that forces a sentiment analysis or text classification mode to make an incorrect prediction.

ADVERSARIAL TEXT SENTIMENT ANALYSIS TEXT CLASSIFICATION

AdvCodec: Towards A Unified Framework for Adversarial Text Generation

ICLR 2020

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

ADVERSARIAL TEXT QUESTION ANSWERING SENTIMENT ANALYSIS TEXT GENERATION

Identifying Adversarial Sentences by Analyzing Text Complexity

19 Dec 2019

Attackers create adversarial text to deceive both human perception and the current AI systems to perform malicious purposes such as spam product reviews and fake political posts.

ADVERSARIAL TEXT

Universal Adversarial Perturbation for Text Classification

10 Oct 2019

Given a state-of-the-art deep neural network text classifier, we show the existence of a universal and very small perturbation vector (in the embedding space) that causes natural text to be misclassified with high probability.

ADVERSARIAL TEXT TEXT CLASSIFICATION

Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples

21 Aug 2019

Adversarial examples are artificially modified input samples which lead to misclassifications, while not being detectable by humans.

ADVERSARIAL TEXT IMAGE CLASSIFICATION TEXT CLASSIFICATION

Adversarial Text Generation via Feature-Mover's Distance

NeurIPS 2018

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

ADVERSARIAL TEXT STYLE TRANSFER TEXT GENERATION