Cover Image

LAGO: Few-shot Crosslingual Embedding Inversion Attacks via Language Similarity-Aware Graph Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Wenrui, Chen, Yiyi, Bjerva, Johannes, Kosta, Sokol, Li, Qiongxiu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation
by: Chen, Yiyi, et al.
Published: (2025)

Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks
by: Chen, Yiyi, et al.
Published: (2024)

Text Embedding Inversion Security for Multilingual Language Models
by: Chen, Yiyi, et al.
Published: (2024)

Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis
by: Chen, Yiyi, et al.
Published: (2024)

Semantic Leakage from Image Embeddings
by: Chen, Yiyi, et al.
Published: (2026)

Universal Zero-shot Embedding Inversion
by: Zhang, Collin, et al.
Published: (2025)

Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization
by: Liu, Tiantian, et al.
Published: (2024)

Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities
by: Luo, Xiaoyu, et al.
Published: (2025)

Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries
by: Huang, Yu-Hsiang, et al.
Published: (2024)

Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks
by: Tsai, Yu-Che, et al.
Published: (2026)

ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking
by: Wu, Yutao, et al.
Published: (2025)

A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG
by: Mu, Junjie, et al.
Published: (2026)

Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models
by: Li, Xiao, et al.
Published: (2024)

LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings
by: Li, Ting, et al.
Published: (2025)

ProP: Efficient Backdoor Detection via Propagation Perturbation for Overparametrized Models
by: Ren, Tao, et al.
Published: (2024)

Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models
by: Xu, Zihao, et al.
Published: (2024)

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
by: Duan, Wenjing, et al.
Published: (2026)

Enhance Robustness of Language Models Against Variation Attack through Graph Integration
by: Xiong, Zi, et al.
Published: (2024)

Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects
by: Luo, Xiaoyu, et al.
Published: (2026)

Geometry-Aware Localized Watermarking for Copyright Protection in Embedding-as-a-Service
by: Chen, Zhimin, et al.
Published: (2026)

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression
by: Li, Yucheng, et al.
Published: (2025)

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization
by: Wang, Yidan, et al.
Published: (2025)

Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors
by: Peng, Yuefeng, et al.
Published: (2024)

BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models
by: Wu, Zhengxian, et al.
Published: (2025)

DeMem: Privacy-Enhanced Robust Adversarial Learning via De-Memorization
by: Luo, Xiaoyu, et al.
Published: (2024)

Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
by: He, Yu, et al.
Published: (2025)

Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)

SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models
by: Afane, Mohamed, et al.
Published: (2025)

Privacy in Large Language Models: Attacks, Defenses and Future Directions
by: Li, Haoran, et al.
Published: (2023)

A Survey of Attacks on Large Language Models
by: Xu, Wenrui, et al.
Published: (2025)

SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
by: Lu, Weikai, et al.
Published: (2025)

VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity
by: VenkataKeerthy, S., et al.
Published: (2023)

Does Few-shot Learning Suffer from Backdoor Attacks?
by: Liu, Xinwei, et al.
Published: (2023)

TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual Similarity
by: Cao, Xi, et al.
Published: (2024)

Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface
by: Labunets, Andrey, et al.
Published: (2025)

Prompt Stealing Attacks Against Large Language Models
by: Sha, Zeyang, et al.
Published: (2024)

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
by: Wang, Zihan, et al.
Published: (2025)

Zero-shot Generative Linguistic Steganography
by: Lin, Ke, et al.
Published: (2024)

Denial-of-Service Poisoning Attacks against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2024)

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
by: Xu, Zhangchen, et al.
Published: (2024)