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Adversarial Text

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Adversarial Text refers to a specialised text sequence that is designed specifically to influence the prediction of a language model. Generally, Adversarial Text attack are carried out on Large Language Models (LLMs). Research on understanding different adversarial approaches can help us build effective defense mechanisms to detect malicious text input and build robust language models.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/faizaan09/caption-to-image-generation

Generative Adversarial Text to Image Synthesis

https://github.com/franroldans/tfm-franroldan-wav2pix

Generative Adversarial Text to Image Synthesis

https://github.com/hanzhanggit/StackGAN

Generative Adversarial Text to Image Synthesis

https://github.com/hanzhanggit/StackGAN-Pytorch

Generative Adversarial Text to Image Synthesis

https://github.com/hanzhanggit/StackGAN-inception-model

Generative Adversarial Text to Image Synthesis

https://github.com/hanzhanggit/StackGAN-v2

Generative Adversarial Text to Image Synthesis

https://github.com/huawei-noah/kd-nlp

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation

https://github.com/itsayushthada/Text-To-Image

Generative Adversarial Text to Image Synthesis

https://github.com/jay-z007/Text-to-Image-Synthesis

Generative Adversarial Text to Image Synthesis

https://github.com/jdrego/EEE511ANC-Text2ImageGAN

Generative Adversarial Text to Image Synthesis

https://github.com/jhl-hust/texthacker

Generating Natural Language Attacks in a Hard Label Black Box Setting

https://github.com/keonlee9420/WaveGrad2

End-to-End Adversarial Text-to-Speech

https://github.com/mikepatel/Text-2-Image-GAN

Generative Adversarial Text to Image Synthesis

https://github.com/mrStasSmirnoff/GAN_basics

Generative Adversarial Text to Image Synthesis

https://github.com/prakashpandey9/Text2Image-PyTorch

Generative Adversarial Text to Image Synthesis

https://github.com/priscillalui/StackGAN-Stories

Generative Adversarial Text to Image Synthesis

https://github.com/rafiahmed40/stack-adverserial-network

Generative Adversarial Text to Image Synthesis

https://github.com/rightlit/StackGAN-v2-rev

Generative Adversarial Text to Image Synthesis

https://github.com/scrambleegg7/Text-to-Image-Synthesis2

Generative Adversarial Text to Image Synthesis

https://github.com/snow-mn/GAN-INT-CLS

Generative Adversarial Text to Image Synthesis

https://github.com/srayhit/TextToImageSynthesisUsingGAN

Generative Adversarial Text to Image Synthesis

https://github.com/utsjiyaoli/qa-attack

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

https://github.com/vijini/FM-GAN

Adversarial Text Generation via Feature-Mover's Distance

https://github.com/vincent861223/Train_BERT_With_TextFooler

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

https://github.com/vtddggg/BilinearGAN_for_LBIE

Generative Adversarial Text to Image Synthesis

https://github.com/wqj111186/TextFooler

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

https://github.com/yanggeng1995/EATS

End-to-End Adversarial Text-to-Speech

https://github.com/yangyi-chen/maya

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

https://github.com/yuehwai0508/Bert_TFL

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

https://github.com/zhuhai-ustc/limeattack

Generating Natural Language Attacks in a Hard Label Black Box Setting

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