Cover Image

FreeTalk:A plug-and-play and black-box defense against speech synthesis attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pu, Yuwen, Feng, Zhou, Zhou, Chunyi, Chen, Jiahao, Hu, Chunqiang, Hu, Haibo, Ji, Shouling
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mellivora Capensis: A Backdoor-Free Training Framework on the Poisoned Dataset without Auxiliary Data
by: Pu, Yuwen, et al.
Published: (2024)

Dullahan: Stealthy Backdoor Attack against Without-Label-Sharing Split Learning
by: Pu, Yuwen, et al.
Published: (2024)

Unveiling the Security Risks of Federated Learning in the Wild: From Research to Practice
by: Chen, Jiahao, et al.
Published: (2026)

Enhancing Adversarial Transferability with Adversarial Weight Tuning
by: Chen, Jiahao, et al.
Published: (2024)

CAMH: Advancing Model Hijacking Attack in Machine Learning
by: He, Xing, et al.
Published: (2024)

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective
by: Chen, Jiahao, et al.
Published: (2024)

Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)

Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents
by: Chen, Jiahao, et al.
Published: (2026)

UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning
by: Ma, Oubo, et al.
Published: (2025)

Auditing M-LLMs for Privacy Risks: A Synthetic Benchmark and Evaluation Framework
by: Li, Junhao, et al.
Published: (2025)

LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing
by: Chen, Jiahao, et al.
Published: (2025)

DLP: towards active defense against backdoor attacks with decoupled learning process
by: Ying, Zonghao, et al.
Published: (2024)

AED: An black-box NLP classifier model attacker
by: Liu, Yueyang, et al.
Published: (2021)

Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning
by: Ma, Oubo, et al.
Published: (2026)

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
by: Ma, Oubo, et al.
Published: (2024)

MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective
by: Zhang, Xinwei, et al.
Published: (2025)

Active Sybil attack and efficient defense strategy in IPFS DHT
by: Netto, V. H. de Moura, et al.
Published: (2025)

TeleAI-Safety: A comprehensive LLM jailbreaking benchmark towards attacks, defenses, and evaluations
by: Chen, Xiuyuan, et al.
Published: (2025)

Proactive defense against LLM Jailbreak
by: Zhao, Weiliang, et al.
Published: (2025)

FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
by: Xu, Naen, et al.
Published: (2026)

A limited technical background is sufficient for attack-defense tree acceptability
by: Schiele, Nathan Daniel, et al.
Published: (2025)

Decaf: Data Distribution Decompose Attack against Federated Learning
by: Dai, Zhiyang, et al.
Published: (2024)

CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models
by: Zeng, Rui, et al.
Published: (2024)

AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models
by: Wang, Yiming, et al.
Published: (2024)

Revisiting the attacker's knowledge in inference attacks against Searchable Symmetric Encryption
by: Damie, Marc, et al.
Published: (2025)

Traceable Black-box Watermarks for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025)

IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
by: An, Hengyu, et al.
Published: (2025)

"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning
by: Zhang, Jiale, et al.
Published: (2024)

AdvSQLi: Generating Adversarial SQL Injections against Real-world WAF-as-a-service
by: Qu, Zhenqing, et al.
Published: (2024)

HackCar: a test platform for attacks and defenses on a cost-contained automotive architecture
by: Stabili, Dario, et al.
Published: (2024)

Hijack Vertical Federated Learning Models As One Party
by: Qiu, Pengyu, et al.
Published: (2022)

A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild
by: Ling, Xiang, et al.
Published: (2024)

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
by: Du, Rong, et al.
Published: (2025)

Shadow defense against gradient inversion attack in federated learning
by: Jiang, Le, et al.
Published: (2025)

Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach
by: Fu, Yue, et al.
Published: (2024)

Towards Scalable and Interpretable Mobile App Risk Analysis via Large Language Models
by: Yang, Yu, et al.
Published: (2025)

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models
by: Yi, Biao, et al.
Published: (2025)

Differentially Private Distance Query with Asymmetric Noise
by: Sheng, Weihong, et al.
Published: (2025)

Local Distance Query with Differential Privacy
by: Sheng, Weihong, et al.
Published: (2025)

RAB$^2$-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients
by: Rodríguez-Barroso, Nuria, et al.
Published: (2024)