Browse > Adversarial > Adversarial Text

Adversarial Text

4 papers with code · Adversarial

State-of-the-art leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Generative Adversarial Text to Image Synthesis

17 May 2016hanzhanggit/StackGAN

Automatic synthesis of realistic images from text would be interesting and useful, but current AI systems are still far from this goal. However, in recent years generic and powerful recurrent neural network architectures have been developed to learn discriminative text feature representations.

ADVERSARIAL TEXT TEXT-TO-IMAGE GENERATION

DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation

14 Dec 2017CatherineWong/dancin_seq2seq

Machine learning models are powerful but fallible. In this work, we introduce DANCin SEQ2SEQ, a GAN-inspired algorithm for adversarial text example generation targeting largely black-box text classifiers.

ADVERSARIAL TEXT

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

13 Jan 2018QData/deepWordBug

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. In this paper, we present a novel algorithm, DeepWordBug, to effectively generate small text perturbations in a black-box setting that forces a deep-learning classifier to misclassify a text input.

ADVERSARIAL TEXT SENTIMENT ANALYSIS TEXT CLASSIFICATION

Adversarial Text Generation Without Reinforcement Learning

11 Oct 2018cympfh/LaMnistGAN-Keras

This is largely because sequences of text are discrete, and thus gradients cannot propagate from the discriminator to the generator. Recent solutions use reinforcement learning to propagate approximate gradients to the generator, but this is inefficient to train.

ADVERSARIAL TEXT TEXT GENERATION