Copertina

TAAC: A gate into Trustable Audio Affective Computing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hu, Xintao, Cui, Feng-Qi
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CHIP: Chameleon Hash-based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control
di: Xu, Chaohui, et al.
Pubblicazione: (2025)

Distilled Large Language Model in Confidential Computing Environment for System-on-Chip Design
di: Ben, Dong, et al.
Pubblicazione: (2025)

FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge
di: Lan, Jiahe, et al.
Pubblicazione: (2023)

Adaptive Attribute-Decoupled Encryption for Trusted Respiratory Monitoring in Resource-Limited Consumer Healthcare
di: Li, Xinyu, et al.
Pubblicazione: (2026)

SteganoSNN: SNN-Based Audio-in-Image Steganography with Encryption
di: Sahoo, Biswajit Kumar, et al.
Pubblicazione: (2025)

Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
di: Lin, Zilong, et al.
Pubblicazione: (2024)

SoK: How Robust is Audio Watermarking in Generative AI models?
di: Wen, Yizhu, et al.
Pubblicazione: (2025)

Breaking Audio Large Language Models by Attacking Only the Encoder: A Universal Targeted Latent-Space Audio Attack
di: Ziv, Roee, et al.
Pubblicazione: (2025)

ClawTrap: A MITM-Based Red-Teaming Framework for Real-World OpenClaw Security Evaluation
di: Zhao, Haochen, et al.
Pubblicazione: (2026)

Measuring the Robustness of Audio Deepfake Detectors
di: Li, Xiang, et al.
Pubblicazione: (2025)

Threat Modeling for Enhancing Security of IoT Audio Classification Devices under a Secure Protocols Framework
di: Benlloch-Lopez, Sergio, et al.
Pubblicazione: (2025)

GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization
di: Nimase, Ojas, et al.
Pubblicazione: (2026)

DP-TabICL: In-Context Learning with Differentially Private Tabular Data
di: Carey, Alycia N., et al.
Pubblicazione: (2024)

IMMACULATE: A Practical LLM Auditing Framework via Verifiable Computation
di: Guo, Yanpei, et al.
Pubblicazione: (2026)

When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI
di: Forough, Javad, et al.
Pubblicazione: (2026)

EdgeShield: A Universal and Efficient Edge Computing Framework for Robust AI
di: Zhong, Duo, et al.
Pubblicazione: (2024)

A Novel Access Control and Privacy-Enhancing Approach for Models in Edge Computing
di: Li, Peihao
Pubblicazione: (2024)

If Only My CGM Could Speak: A Privacy-Preserving Agent for Question Answering over Continuous Glucose Data
di: Cui, Yanjun, et al.
Pubblicazione: (2026)

Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs
di: Hu, Man, et al.
Pubblicazione: (2025)

Privacy-Preserving Decentralized AI with Confidential Computing
di: Lee, Dayeol, et al.
Pubblicazione: (2024)

Token-Efficient Prompt Injection Attack: Provoking Cessation in LLM Reasoning via Adaptive Token Compression
di: Cui, Yu, et al.
Pubblicazione: (2025)

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers
di: Wen, Xiangyu, et al.
Pubblicazione: (2026)

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models
di: Wen, Jinming, et al.
Pubblicazione: (2025)

PentestMCP: A Toolkit for Agentic Penetration Testing
di: Ezetta, Zachary, et al.
Pubblicazione: (2025)

Masked Language Model Based Textual Adversarial Example Detection
di: Zhang, Xiaomei, et al.
Pubblicazione: (2023)

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing
di: Han, Husheng, et al.
Pubblicazione: (2024)

Securing Generative AI in Healthcare: A Zero-Trust Architecture Powered by Confidential Computing on Google Cloud
di: Amanna, Adaobi, et al.
Pubblicazione: (2025)

Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models
di: Yu, Ye, et al.
Pubblicazione: (2026)

Detection and Analysis of Sensitive and Illegal Content on the Ethereum Blockchain Using Machine Learning Techniques
di: Feng, Xingyu
Pubblicazione: (2025)

AI-Powered Algorithms for the Prevention and Detection of Computer Malware Infections
di: Keshava, Rakesh, et al.
Pubblicazione: (2026)

Safeguarding Large Language Models: A Survey
di: Dong, Yi, et al.
Pubblicazione: (2024)

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach
di: Hu, Yuke, et al.
Pubblicazione: (2023)

Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
di: Yin, Jinhua, et al.
Pubblicazione: (2025)

Zero-Knowledge Audit for Internet of Agents: Privacy-Preserving Communication Verification with Model Context Protocol
di: Jing, Guanlin, et al.
Pubblicazione: (2025)

A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
di: Negoya, Yusaku, et al.
Pubblicazione: (2025)

WebPII: Benchmarking Visual PII Detection for Computer-Use Agents
di: Zhao, Nathan
Pubblicazione: (2026)

VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents
di: Cao, Tri, et al.
Pubblicazione: (2025)

Substituting Proof of Work in Blockchain with Training-Verified Collaborative Model Computation
di: Rafid, Mohammad Ishzaz Asif, et al.
Pubblicazione: (2025)

Persistent Backdoor Attacks under Continual Fine-Tuning of LLMs
di: Cui, Jing, et al.
Pubblicazione: (2025)

Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence
di: Dittmar, Yannik, et al.
Pubblicazione: (2026)