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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.

ADVERSARIAL TEXT TEXT-TO-IMAGE GENERATION

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

9 Sep 2020QData/TextAttack

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

ADVERSARIAL TEXT DATA AUGMENTATION

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

29 Apr 2020QData/TextAttack

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

ADVERSARIAL ATTACK ADVERSARIAL TEXT DATA AUGMENTATION LEXICAL ENTAILMENT MACHINE TRANSLATION TEXT CLASSIFICATION

BAE: BERT-based Adversarial Examples for Text Classification

EMNLP 2020 QData/TextAttack

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

ADVERSARIAL ATTACK ADVERSARIAL TEXT TEXT CLASSIFICATION

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

27 Jul 2019jind11/TextFooler

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.

ADVERSARIAL TEXT NATURAL LANGUAGE INFERENCE TEXT CLASSIFICATION

End-to-End Adversarial Text-to-Speech

ICLR 2021 yanggeng1995/EATS

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

4 ADVERSARIAL TEXT SPEECH SYNTHESIS TEXT-TO-SPEECH SYNTHESIS

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.

ADVERSARIAL TEXT SENTIMENT ANALYSIS TEXT CLASSIFICATION

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

EMNLP 2020 aisecure/AdvCodec

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.

ADVERSARIAL ATTACK ADVERSARIAL TEXT QUESTION ANSWERING SENTIMENT ANALYSIS TEXT GENERATION

TextBugger: Generating Adversarial Text Against Real-world Applications

13 Dec 2018CatherineWong/dancin_seq2seq

Deep Learning-based Text Understanding (DLTU) is the backbone technique behind various applications, including question answering, machine translation, and text classification.

ADVERSARIAL TEXT MACHINE TRANSLATION QUESTION ANSWERING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS TEXT CLASSIFICATION

DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation

14 Dec 2017CatherineWong/dancin_seq2seq

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

ADVERSARIAL TEXT