Cover Image

Graded Suspiciousness of Adversarial Texts to Human

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tonni, Shakila Mahjabin, Faustini, Pedro, Dras, Mark
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IDT: Dual-Task Adversarial Attacks for Privacy Protection
by: Faustini, Pedro, et al.
Published: (2024)

Empirical Calibration and Metric Differential Privacy in Language Models
by: Faustini, Pedro, et al.
Published: (2025)

Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
by: Zhou, Ying, et al.
Published: (2024)

Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
by: Dey, Roopkatha, et al.
Published: (2024)

Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
by: Waghela, Hetvi, et al.
Published: (2024)

A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
by: Waghela, Hetvi, et al.
Published: (2024)

Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
by: Zhang, Xinyu, et al.
Published: (2023)

Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
by: Li, Weijun, et al.
Published: (2024)

Adversarial Decoding: Generating Readable Documents for Adversarial Objectives
by: Zhang, Collin, et al.
Published: (2024)

Comparing privacy notions for protection against reconstruction attacks in machine learning
by: Biswas, Sayan, et al.
Published: (2025)

Beyond Theoretical Bounds: Empirical Privacy Loss Calibration for Text Rewriting Under Local Differential Privacy
by: Li, Weijun, et al.
Published: (2026)

Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
by: Waghela, Hetvi, et al.
Published: (2024)

Towards More Realistic Extraction Attacks: An Adversarial Perspective
by: More, Yash, et al.
Published: (2024)

Dynamic Adversarial Fine-Tuning Reorganizes Refusal Geometry
by: Lan, Wenhao, et al.
Published: (2026)

Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
by: Shahariar, G M, et al.
Published: (2024)

On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial Attacks
by: Liu, Zesen, et al.
Published: (2024)

Adversarial Text Purification: A Large Language Model Approach for Defense
by: Moraffah, Raha, et al.
Published: (2024)

Self-Evaluation as a Defense Against Adversarial Attacks on LLMs
by: Brown, Hannah, et al.
Published: (2024)

Hijacking Large Language Models via Adversarial In-Context Learning
by: Zhou, Xiangyu, et al.
Published: (2023)

Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation
by: Li, Qizhang, et al.
Published: (2024)

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
by: Liu, Hongfu, et al.
Published: (2024)

Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
by: Biswas, Sajib, et al.
Published: (2025)

Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
by: Roth, Tom, et al.
Published: (2021)

LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
by: Li, Ran, et al.
Published: (2025)

Image Hijacks: Adversarial Images can Control Generative Models at Runtime
by: Bailey, Luke, et al.
Published: (2023)

SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator
by: Asl, Javad Rafiei, et al.
Published: (2024)

MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks
by: Zhang, Fangyuan, et al.
Published: (2024)

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
by: Zheng, Rui, et al.
Published: (2024)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
by: Zhu, Kaijie, et al.
Published: (2023)

Bits Leaked per Query: Information-Theoretic Bounds on Adversarial Attacks against LLMs
by: Kaneko, Masahiro, et al.
Published: (2025)

MARAGE: Transferable Multi-Model Adversarial Attack for Retrieval-Augmented Generation Data Extraction
by: Hu, Xiao, et al.
Published: (2025)

A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
by: Dang, Cuong, et al.
Published: (2024)

AdvJudge-Zero: Binary Decision Flips in LLM-as-a-Judge via Adversarial Control Tokens
by: Li, Tung-Ling, et al.
Published: (2025)

Differentially Private Knowledge Distillation via Synthetic Text Generation
by: Flemings, James, et al.
Published: (2024)

CERT-ED: Certifiably Robust Text Classification for Edit Distance
by: Huang, Zhuoqun, et al.
Published: (2024)

Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs
by: Mathew, Yohan, et al.
Published: (2024)

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
by: Mori, Junki, et al.
Published: (2025)

ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?
by: Liu, Peihan, et al.
Published: (2026)

Reformulation is All You Need: Addressing Malicious Text Features in DNNs
by: Jiang, Yi, et al.
Published: (2025)

The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
by: Meeus, Matthieu, et al.
Published: (2025)