Imagen de Portada

DUAP: Dual-task Universal Adversarial Perturbations Against Voice Control Systems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sun, Suyang, Jin, Weifei, Cao, Yuxin, Song, Wei, Hao, Jie
Formato:	Preprint
Publicado:	2026
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Mirage Fools the Ear, Mute Hides the Truth: Precise Targeted Adversarial Attacks on Polyphonic Sound Event Detection Systems
por: Su, Junjie, et al.
Publicado: (2025)

Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems
por: Jin, Weifei, et al.
Publicado: (2025)

ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language Models
por: Jin, Weifei, et al.
Publicado: (2025)

SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis
por: Zhang, Zhisheng, et al.
Publicado: (2025)

Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization
por: Jin, Weifei, et al.
Publicado: (2025)

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

Membership Inference Attacks Against Video Large Language Models
por: Song, Wei, et al.
Publicado: (2026)

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

Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer
por: Jin, Weifei, et al.
Publicado: (2024)

Joint Universal Adversarial Perturbations with Interpretations
por: Ning, Liang-bo, et al.
Publicado: (2024)

A Multi-task Adversarial Attack Against Face Authentication
por: Wang, Hanrui, et al.
Publicado: (2024)

DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents
por: Zhang, Fuyao, et al.
Publicado: (2025)

Poison Attacks and Adversarial Prompts Against an Informed University Virtual Assistant
por: Fernandez, Ivan A., et al.
Publicado: (2024)

Bones of Contention: Exploring Query-Efficient Attacks against Skeleton Recognition Systems
por: Cao, Yuxin, et al.
Publicado: (2025)

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
por: Wang, Wenqiang, et al.
Publicado: (2025)

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
por: Fang, Hao, et al.
Publicado: (2024)

CleanBase: Detecting Malicious Documents in RAG Knowledge Databases
por: Jin, Weifei, et al.
Publicado: (2026)

Securing Voice Authentication Applications Against Targeted Data Poisoning
por: Mohammadi, Alireza, et al.
Publicado: (2024)

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

"What is the Problem Space?" Defining Host-space Adversarial Perturbations against Network Intrusion Detection Systems
por: Verkerken, Miel, et al.
Publicado: (2026)

A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning based Intrusion Detection Systems
por: Zhang, H., et al.
Publicado: (2025)

A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems
por: Kamel, Kamel, et al.
Publicado: (2025)

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

Thinking Inside The Box: Privacy Against Stronger Adversaries
por: Chung, Eldon
Publicado: (2024)

TA3: Testing Against Adversarial Attacks on Machine Learning Models
por: Jin, Yuanzhe, et al.
Publicado: (2024)

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

DMLDroid: Deep Multimodal Fusion Framework for Android Malware Detection with Resilience to Code Obfuscation and Adversarial Perturbations
por: Trung, Doan Minh, et al.
Publicado: (2025)

Improved Generation of Adversarial Examples Against Safety-aligned LLMs
por: Li, Qizhang, et al.
Publicado: (2024)

Benchmarking Misuse Mitigation Against Covert Adversaries
por: Brown, Davis, et al.
Publicado: (2025)

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

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

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

De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
por: Fan, Wei, et al.
Publicado: (2025)

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

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections
por: Cao, Tri, et al.
Publicado: (2026)

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

Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
por: Etim, Anthony, et al.
Publicado: (2025)

Baiting AI: Deceptive Adversary Against AI-Protected Industrial Infrastructures
por: Pasikhani, Aryan, et al.
Publicado: (2026)

Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
por: Alghuried, Ahod, et al.
Publicado: (2025)

Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
por: Gu, Wenwei, et al.
Publicado: (2025)