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Adversarial Text

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.

Papers

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Showing 26–50 of 114 papers

TitleStatusHype
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial AttacksCode1
A Pilot Study of Query-Free Adversarial Attack against Stable DiffusionCode1
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation—0
Adversarial Text to Continuous Image Generation—0
Adversarial Text Purification: A Large Language Model Approach for Defense—0
Identifying Adversarial Sentences by Analyzing Text Complexity—0
Adversarial Text Normalization—0
Adversarial Text Generation Without Reinforcement Learning—0
From Unsupervised Machine Translation To Adversarial Text Generation—0
Fooling OCR Systems with Adversarial Text Images—0
PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization—0
IAE: Irony-based Adversarial Examples for Sentiment Analysis Systems—0
Identifying Adversarial Attacks on Text Classifiers—0
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion—0
A survey on text generation using generative adversarial networks—0
Adversarial Text Generation with Dynamic Contextual Perturbation—0
Adversarial Text Generation via Sequence Contrast Discrimination—0
Don’t Search for a Search Method — Simple Heuristics Suffice for Adversarial Text Attacks—0
FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications—0
Don't Search for a Search Method -- Simple Heuristics Suffice for Adversarial Text Attacks—0
Finding a Wolf in Sheep's Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization—0
AdvCodec: Towards A Unified Framework for Adversarial Text Generation—0
Goal-guided Generative Prompt Injection Attack on Large Language Models—0
Hierarchical Lexical Manifold Projection in Large Language Models: A Novel Mechanism for Multi-Scale Semantic Representation—0
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation—0
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