Imagen de Portada

Diffuse or Confuse: A Diffusion Deepfake Speech Dataset

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Firc, Anton, Malinka, Kamil, Hanáček, Petr
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security Artificial Intelligence Machine Learning Sound I.2.7
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evolutionary Multi-Objective Fusion of Deepfake Speech Detectors
por: Staněk, Vojtěch, et al.
Publicado: (2026)

SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis
por: Staněk, Vojtěch, et al.
Publicado: (2025)

STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution
por: Firc, Anton, et al.
Publicado: (2025)

ConfusionPrompt: Practical Private Inference for Online Large Language Models
por: Mai, Peihua, et al.
Publicado: (2023)

Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems
por: Hackett, William, et al.
Publicado: (2025)

JavelinGuard: Low-Cost Transformer Architectures for LLM Security
por: Datta, Yash, et al.
Publicado: (2025)

Unlearning at Scale: Implementing the Right to be Forgotten in Large Language Models
por: X, Abdullah
Publicado: (2025)

Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study
por: Pissarra, David, et al.
Publicado: (2024)

MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models
por: Pan, Leyi, et al.
Publicado: (2025)

Scaling Trends in Language Model Robustness
por: Howe, Nikolaus, et al.
Publicado: (2024)

Adversarial Attacks on Large Language Models Using Regularized Relaxation
por: Chacko, Samuel Jacob, et al.
Publicado: (2024)

Exploiting Novel GPT-4 APIs
por: Pelrine, Kellin, et al.
Publicado: (2023)

Temporal Attack Pattern Detection in Multi-Agent AI Workflows: An Open Framework for Training Trace-Based Security Models
por: Del Rosario, Ron F.
Publicado: (2025)

Real AI Agents with Fake Memories: Fatal Context Manipulation Attacks on Web3 Agents
por: Patlan, Atharv Singh, et al.
Publicado: (2025)

Split-and-Denoise: Protect large language model inference with local differential privacy
por: Mai, Peihua, et al.
Publicado: (2023)

Super Suffixes: Bypassing Text Generation Alignment and Guard Models Simultaneously
por: Adiletta, Andrew, et al.
Publicado: (2025)

AI Safeguards, Generative AI and the Pandora Box: AI Safety Measures to Protect Businesses and Personal Reputation
por: Kumar, Prasanna
Publicado: (2026)

Efficient LLM Safety Evaluation through Multi-Agent Debate
por: Lin, Dachuan, et al.
Publicado: (2025)

Forecasting Anonymized Electricity Load Profiles
por: Fernandez, Joaquin Delgado, et al.
Publicado: (2025)

Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity
por: Williams-King, David, et al.
Publicado: (2025)

CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities
por: Zhu, Yuxuan, et al.
Publicado: (2025)

Multi-level SSL Feature Gating for Audio Deepfake Detection
por: Tran, Hoan My, et al.
Publicado: (2025)

Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design
por: Charles, Richard M., et al.
Publicado: (2025)

AlignDP: Hybrid Differential Privacy with Rarity-Aware Protection for LLMs
por: Gaikwad, Madhava
Publicado: (2025)

BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders
por: DeLeeuw, Caleb
Publicado: (2026)

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents
por: Gowda, Ishrith
Publicado: (2026)

PoTS: Proof-of-Training-Steps for Backdoor Detection in Large Language Models
por: Seddik, Issam, et al.
Publicado: (2025)

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset
por: Palit, Sayon, et al.
Publicado: (2025)

Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for Polish
por: Junczyk, Michał
Publicado: (2024)

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
por: Kurian, Ashley, et al.
Publicado: (2025)

Logits of API-Protected LLMs Leak Proprietary Information
por: Finlayson, Matthew, et al.
Publicado: (2024)

Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning
por: Xie, Xiaopeng, et al.
Publicado: (2024)

Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
por: Blanco-Justicia, Alberto, et al.
Publicado: (2024)

WhisperAlign: Word-Boundary-Aware ASR and WhisperX-Anchored Pyannote Diarization for Long-Form Bengali Speech
por: Chowdhury, Aurchi, et al.
Publicado: (2026)

Large Language Models are Advanced Anonymizers
por: Staab, Robin, et al.
Publicado: (2024)

Biometrics Employing Neural Network
por: Bhuiyan, Sajjad
Publicado: (2024)

Accelerating Suffix Jailbreak attacks with Prefix-Shared KV-cache
por: Wang, Xinhai, et al.
Publicado: (2026)

VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
por: Miculicich, Lesly, et al.
Publicado: (2025)

Safeguarding Efficacy in Large Language Models: Evaluating Resistance to Human-Written and Algorithmic Adversarial Prompts
por: Downey-Webb, Tiarnaigh, et al.
Publicado: (2025)

Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?
por: Xin, Yuan, et al.
Publicado: (2025)