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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/quocnsh/sepp

공식 코드

SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text

https://github.com/quocnsh/votetrans

공식 코드

VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations

https://github.com/reedscot/icml2016

공식 코드

Generative Adversarial Text to Image Synthesis

https://github.com/roywang021/UMK

공식 코드

White-box Multimodal Jailbreaks Against Large Vision-Language Models

https://github.com/sejoonoh/atr

공식 코드

Adversarial Text Rewriting for Text-aware Recommender Systems

https://github.com/sensengao/vlptransferattack

공식 코드

Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory

https://github.com/skp1999/SMAB

공식 코드

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation

https://github.com/sssadrizadeh/NMT_Obfuscator

공식 코드

NMT-Obfuscator Attack: Ignore a sentence in translation with only one word

https://github.com/unum-cloud/usearch

공식 코드

RETSim: Resilient and Efficient Text Similarity

https://github.com/weijiawu/SyntoReal_STD

공식 코드

Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild

https://github.com/ztcoalson/waffle

공식 코드

BERT Lost Patience Won't Be Robust to Adversarial Slowdown

https://github.com/Abhis-123/TextToImage

Generative Adversarial Text to Image Synthesis

https://github.com/BeyondCloud/Comp04_ReverseImageCaption

Generative Adversarial Text to Image Synthesis

https://github.com/Caimthefool/Paddle_T2I

Generative Adversarial Text to Image Synthesis

https://github.com/CorneliusHsiao/FoodMethodGAN

Generative Adversarial Text to Image Synthesis

https://github.com/DAI-Lab/fibber

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

https://github.com/DanielLongo/AdversarialTrain

Generative Adversarial Text to Image Synthesis

https://github.com/DanielLongo/GANs

Generative Adversarial Text to Image Synthesis

https://github.com/DanielLongo/cGANs

Generative Adversarial Text to Image Synthesis

https://github.com/Jason-J-Choi/DeBERTa_TxtClassifier

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

https://github.com/KanikaNegi/text-to-image-using-GAN

Generative Adversarial Text to Image Synthesis

https://github.com/Maymaher/StackGANv2

Generative Adversarial Text to Image Synthesis

https://github.com/Mckinsey666/Conditional-GAN-Anime-Generation

Generative Adversarial Text to Image Synthesis

https://github.com/MindSpore-scientific-2/code-4/tree/main/Least_Generative

Generative Adversarial Text to Image Synthesis

https://github.com/Rakshith-Manandi/text-to-image-using-GAN

Generative Adversarial Text to Image Synthesis

https://github.com/Sayak007/Text-to-Image-Synthesis-using-DCGAN

Generative Adversarial Text to Image Synthesis

https://github.com/Vigneshthanga/stackGAN-v2

Generative Adversarial Text to Image Synthesis

https://github.com/Vishal-V/StackGAN

Generative Adversarial Text to Image Synthesis

https://github.com/aelnouby/Text-to-Image-Synthesis

Generative Adversarial Text to Image Synthesis

https://github.com/alankarj/robust_nlp

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

https://github.com/anandaltekar/movie-poster-generator

Generative Adversarial Text to Image Synthesis

https://github.com/charchit7/QuickDraw-App

Generative Adversarial Text to Image Synthesis

https://github.com/chenghaomou/text-dedup

RETSim: Resilient and Efficient Text Similarity

https://github.com/clip-italian/clip-italian

Persistent Anti-Muslim Bias in Large Language Models

https://github.com/dongdongdong666/CPGAN

Generative Adversarial Text to Image Synthesis

https://github.com/ericlee8/space

Semantic-Preserving Adversarial Text Attacks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.