Image de couverture de livre

GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Yanxi, Zhang, Zhiling, Zhou, Wenbo, Zhang, Weiming, Zhang, Jie, Zhu, Qiannan, Shi, Yu, Zheng, Shuxin, He, Jiyan
Format:	Preprint
Publié:	2026
Sujets:	Cryptography and Security Artificial Intelligence Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
par: Feng, Weitao, et autres
Publié: (2024)

InferDPT: Privacy-Preserving Inference for Closed-box Large Language Model
par: Tong, Meng, et autres
Publié: (2023)

Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
par: Piran, Fardin Jalil, et autres
Publié: (2025)

Generative AI for Secure and Privacy-Preserving Mobile Crowdsensing
par: Yang, Yaoqi, et autres
Publié: (2024)

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
par: Wang, Shouju, et autres
Publié: (2025)

PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation
par: Li, Zhijun, et autres
Publié: (2026)

RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises
par: Li, Chenyu, et autres
Publié: (2025)

Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization
par: Lin, Zhixin, et autres
Publié: (2026)

Epass: Efficient and Privacy-Preserving Asynchronous Payment on Blockchain
par: Wang, Weijie, et autres
Publié: (2025)

Systematic Categorization, Construction and Evaluation of New Attacks against Multi-modal Mobile GUI Agents
par: Yang, Yulong, et autres
Publié: (2024)

BURN: Backdoor Unlearning via Adversarial Boundary Analysis
par: Su, Yanghao, et autres
Publié: (2025)

PoseGuard: Pose-Guided Generation with Safety Guardrails
par: Wang, Kongxin, et autres
Publié: (2025)

Towards Privacy-Preserving Split Learning: Destabilizing Adversarial Inference and Reconstruction Attacks in the Cloud
par: Higgins, Griffin, et autres
Publié: (2025)

A Study on Privacy-Preserving Scholarship Evaluation Based on Decentralized Identity and Zero-Knowledge Proofs
par: Chen, Yi, et autres
Publié: (2025)

Efficient and Privacy-Preserving Distribution Statistics Analytics on Mobile Spatial Data
par: Ren, Xuhao, et autres
Publié: (2026)

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents
par: Chen, Yining, et autres
Publié: (2026)

Privacy-Preserving Screening for Record Linkage
par: Huang, Chenyu, et autres
Publié: (2026)

State-Dependent Safety Failures in Multi-Turn Language Model Interaction
par: Li, Pengcheng, et autres
Publié: (2026)

A Privacy-Preserving Data Collection Method for Diversified Statistical Analysis
par: Jiang, Hao, et autres
Publié: (2025)

Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
par: Piran, Fardin Jalil, et autres
Publié: (2024)

Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
par: Guo, Yuqi, et autres
Publié: (2024)

Understanding the Identity-Transformation Approach in OIDC-Compatible Privacy-Preserving SSO Services
par: Lin, Jingqiang, et autres
Publié: (2025)

PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection
par: Du, Jian, et autres
Publié: (2025)

Knowledge-Assisted Privacy Preserving in Semantic Communication
par: Liu, Xuesong, et autres
Publié: (2024)

Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
par: Koga, Tatsuki, et autres
Publié: (2024)

Towards Privacy-Preserving LLM Inference via Covariant Obfuscation (Technical Report)
par: Lin, Yu, et autres
Publié: (2026)

You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks
par: Li, Qiushi, et autres
Publié: (2024)

SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
par: Li, Yekai, et autres
Publié: (2024)

Towards Privacy-Preserving Revocation of Verifiable Credentials with Time-Flexibility
par: Buccafurri, Francesco, et autres
Publié: (2025)

Privacy-Preserving Inference for Quantized BERT Models
par: Lu, Tianpei, et autres
Publié: (2025)

The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies
par: He, Feng, et autres
Publié: (2024)

Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents
par: Chen, Jiahao, et autres
Publié: (2026)

The Communication-Friendly Privacy-Preserving Machine Learning against Malicious Adversaries
par: Lu, Tianpei, et autres
Publié: (2024)

Evaluations of Machine Learning Privacy Defenses are Misleading
par: Aerni, Michael, et autres
Publié: (2024)

Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning
par: Zhou, Lijing, et autres
Publié: (2023)

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models
par: Ying, Zonghao, et autres
Publié: (2024)

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
par: Zeng, Shenglai, et autres
Publié: (2024)

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
par: Costa, Ivan, et autres
Publié: (2026)

Towards Privacy-Preserving Anomaly-Based Intrusion Detection in Energy Communities
par: Afzal, Zeeshan, et autres
Publié: (2025)

Towards Privacy-Preserving Range Queries with Secure Learned Spatial Index over Encrypted Data
par: Wang, Zuan, et autres
Publié: (2025)