Buchumschlag

AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Hong, Ziming, Huang, Tianyu, Chen, Runnan, Ye, Shanshan, Gong, Mingming, Han, Bo, Liu, Tongliang
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Intellectual Property Protection for 3D Gaussian Splatting Assets: A Survey
von: Zhao, Longjie, et al.
Veröffentlicht: (2026)

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
von: Hong, Ziming, et al.
Veröffentlicht: (2025)

Safeguarding LLM Embeddings in End-Cloud Collaboration via Entropy-Driven Perturbation
von: Jin, Shuaifan, et al.
Veröffentlicht: (2025)

Safeguarding LLMs Against Misuse and AI-Driven Malware Using Steganographic Canaries
von: Raz, Md, et al.
Veröffentlicht: (2026)

Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense
von: Hao, Shuyang, et al.
Veröffentlicht: (2025)

RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing
von: Zhao, Longjie, et al.
Veröffentlicht: (2025)

Diffusion-Guided Adversarial Perturbation Injection for Generalizable Defense Against Facial Manipulations
von: Li, Yue, et al.
Veröffentlicht: (2026)

DUAP: Dual-task Universal Adversarial Perturbations Against Voice Control Systems
von: Sun, Suyang, et al.
Veröffentlicht: (2026)

A Quantum "Lifting Theorem" for Constructions of Pseudorandom Generators from Random Oracles
von: Katz, Jonathan, et al.
Veröffentlicht: (2024)

Late Breaking Results: Fortifying Neural Networks: Safeguarding Against Adversarial Attacks with Stochastic Computing
von: Banitaba, Faeze S., et al.
Veröffentlicht: (2024)

Toward Robust Non-Transferable Learning: A Survey and Benchmark
von: Hong, Ziming, et al.
Veröffentlicht: (2025)

TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment
von: Li, Qinfeng, et al.
Veröffentlicht: (2024)

Improved Quantum Lifting by Coherent Measure-and-Reprogram
von: Cojocaru, Alexandru, et al.
Veröffentlicht: (2025)

Quantum Lifting for Invertible Permutations and Ideal Ciphers
von: Cojocaru, Alexandru, et al.
Veröffentlicht: (2025)

Protecting Quantum Procrastinators with Signature Lifting: A Case Study in Cryptocurrencies
von: Sattath, Or, et al.
Veröffentlicht: (2023)

Who Grants the Agent Power? Defending Against Instruction Injection via Task-Centric Access Control
von: Cai, Yifeng, et al.
Veröffentlicht: (2025)

Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes
von: Hamidi, Shayan Mohajer, et al.
Veröffentlicht: (2024)

Safeguarding Voice Privacy: Harnessing Near-Ultrasonic Interference To Protect Against Unauthorized Audio Recording
von: McKee, Forrest, et al.
Veröffentlicht: (2024)

Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment
von: Chen, Tianyu, et al.
Veröffentlicht: (2025)

RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness
von: Jiang, Enyi, et al.
Veröffentlicht: (2024)

Enhancing SCADA Security: Developing a Host-Based Intrusion Detection System to Safeguard Against Cyberattacks
von: Sen, Omer, et al.
Veröffentlicht: (2024)

Dyadic-Chaotic Lifting S-Boxes for Enhanced Physical-Layer Security within 6G Networks
von: Cherkaoui, Ilias, et al.
Veröffentlicht: (2025)

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models
von: Zhang, Yiyang, et al.
Veröffentlicht: (2026)

Safeguarding Text-to-Image Generative Models Against Unauthorized Knowledge Distillation
von: Gao, Yilan, et al.
Veröffentlicht: (2026)

WAAA! Web Adversaries Against Agentic Browsers
von: Datta, Sohom, et al.
Veröffentlicht: (2026)

BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting
von: Qiu, Huming, et al.
Veröffentlicht: (2023)

Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation
von: Lu, Zhaoyi, et al.
Veröffentlicht: (2024)

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

DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
von: Kang, Mintong, et al.
Veröffentlicht: (2023)

Thinking Inside The Box: Privacy Against Stronger Adversaries
von: Chung, Eldon
Veröffentlicht: (2024)

HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors
von: Yang, Jingxiao, et al.
Veröffentlicht: (2026)

A New Class of Algorithms for Finding Short Vectors in Lattices Lifted from Co-dimension $k$ Codes
von: Lin, Robert, et al.
Veröffentlicht: (2024)

TrojanEdit: Multimodal Backdoor Attack Against Image Editing Model
von: Guo, Ji, et al.
Veröffentlicht: (2024)

Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
von: Hönig, Robert, et al.
Veröffentlicht: (2024)

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

Shattering the Echo Chamber: Hidden Safeguards in Manuscripts Against the AI Takeover of Peer Review
von: Ma, Oubo, et al.
Veröffentlicht: (2026)

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing
von: Hu, Runyi, et al.
Veröffentlicht: (2024)

Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
von: Xiang, Yongli, et al.
Veröffentlicht: (2025)

TrapSuffix: Proactive Defense Against Adversarial Suffixes in Jailbreaking
von: Du, Mengyao, et al.
Veröffentlicht: (2026)

Low Rank Adaptation for Adversarial Perturbation
von: Liu, Han, et al.
Veröffentlicht: (2026)