:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Shen, Yaling, Zhuang, Zhixiong, Yuan, Kun, Nicolae, Maria-Irina, Navab, Nassir, Padoy, Nicolas, Fritz, Mario
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2502.02438
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Stealthy Imitation: Reward-guided Environment-free Policy Stealing
por: Zhuang, Zhixiong, et al.
Publicado: (2024)

Stealix: Model Stealing via Prompt Evolution
por: Zhuang, Zhixiong, et al.
Publicado: (2025)

ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks
por: Zhuang, Zhixiong, et al.
Publicado: (2025)

Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs
por: Yuan, Leitao, et al.
Publicado: (2026)

Prompt Stealing Attacks Against Text-to-Image Generation Models
por: Shen, Xinyue, et al.
Publicado: (2023)

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks
por: Zheng, Xinyao, et al.
Publicado: (2024)

GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
por: Lou, Jiadong, et al.
Publicado: (2025)

Transpose Attack: Stealing Datasets with Bidirectional Training
por: Amit, Guy, et al.
Publicado: (2023)

Stealing Trust: Unraveling Blind Message Attacks in Web3 Authentication
por: Yan, Kailun, et al.
Publicado: (2024)

BESA: Boosting Encoder Stealing Attack with Perturbation Recovery
por: Ren, Xuhao, et al.
Publicado: (2025)

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

Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models
por: Zhao, Shiqian, et al.
Publicado: (2025)

DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
por: Chen, Jinyin, et al.
Publicado: (2024)

Black-Box Skill Stealing Attack from Proprietary LLM Agents: An Empirical Study
por: Wang, Zihan, et al.
Publicado: (2026)

Link Stealing Attacks Against Inductive Graph Neural Networks
por: Wu, Yixin, et al.
Publicado: (2024)

A Model Stealing Attack Against Multi-Exit Networks
por: Pan, Li, et al.
Publicado: (2023)

Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
por: Yilmaz, Eda, et al.
Publicado: (2024)

GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal Reconstruction
por: Gu, Jinze, et al.
Publicado: (2026)

PRSA: Prompt Stealing Attacks against Real-World Prompt Services
por: Yang, Yong, et al.
Publicado: (2024)

Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity
por: Zhu, Zhihao, et al.
Publicado: (2023)

Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack
por: Dai, Chenxi, et al.
Publicado: (2025)

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
por: Jin, Zhibo, et al.
Publicado: (2024)

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
por: Yang, Yulong, et al.
Publicado: (2023)

Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
por: Zhang, Hangsheng, et al.
Publicado: (2024)

How to Steal Reasoning Without Reasoning Traces
por: Zhang, Tingwei, et al.
Publicado: (2026)

Stealing Part of a Production Language Model
por: Carlini, Nicholas, et al.
Publicado: (2024)

Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks
por: Guan, Faqian, et al.
Publicado: (2024)

Adversarial Robustness of Near-Field Millimeter-Wave Imaging under Waveform-Domain Attacks
por: Dorje, Lhamo, et al.
Publicado: (2026)

Prompt Pirates Need a Map: Stealing Seeds helps Stealing Prompts
por: Mächtle, Felix, et al.
Publicado: (2025)

Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
por: Shang, Yingjia, et al.
Publicado: (2025)

Topological Signatures of Adversaries in Multimodal Alignments
por: Vu, Minh, et al.
Publicado: (2025)

All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs
por: Xi, Zhaohan
Publicado: (2025)

I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
por: Oliynyk, Daryna, et al.
Publicado: (2025)

SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning
por: Xu, Weida, et al.
Publicado: (2024)

Efficient Data-Free Model Stealing with Label Diversity
por: Liu, Yiyong, et al.
Publicado: (2024)

Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks
por: Kundu, Satwik, et al.
Publicado: (2024)

Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
por: Weng, Fenghua, et al.
Publicado: (2025)

Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels
por: Shukla, Shubhi, et al.
Publicado: (2024)

Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors
por: Li, Zi, et al.
Publicado: (2026)

BarkBeetle: Stealing Decision Tree Models with Fault Injection
por: Wang, Qifan, et al.
Publicado: (2025)