Copertina

Evolutionary Multi-Objective Fusion of Deepfake Speech Detectors

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Staněk, Vojtěch, Perešíni, Martin, Sekanina, Lukáš, Firc, Anton, Malinka, Kamil
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Sound Artificial Intelligence Cryptography and Security Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Diffuse or Confuse: A Diffusion Deepfake Speech Dataset
di: Firc, Anton, et al.
Pubblicazione: (2024)

LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
di: Liu, Dazhuang, et al.
Pubblicazione: (2024)

Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
di: Sinha, Ankita, et al.
Pubblicazione: (2024)

Bandwidth Reservation for Time-Critical Vehicular Applications: A Multi-Operator Environment
di: Al-Khatib, Abdullah, et al.
Pubblicazione: (2025)

BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models
di: Wang, Xinyuan, et al.
Pubblicazione: (2024)

RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
di: Tauhid, Asif, et al.
Pubblicazione: (2026)

Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space
di: Benabderrahmane, Sidahmed, et al.
Pubblicazione: (2026)

Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
di: Kummer, Lorenz, et al.
Pubblicazione: (2023)

Use of Graph Neural Networks in Aiding Defensive Cyber Operations
di: Mitra, Shaswata, et al.
Pubblicazione: (2024)

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
di: Liu, Ao, et al.
Pubblicazione: (2023)

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
di: Aguilera-Martínez, Francisco, et al.
Pubblicazione: (2025)

Enhance the machine learning algorithm performance in phishing detection with keyword features
di: Yang, Zijiang
Pubblicazione: (2025)

Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance
di: Rupa, Anamika Paul, et al.
Pubblicazione: (2026)

Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders
di: Benabderrahmane, Sidahmed, et al.
Pubblicazione: (2025)

From One Attack Domain to Another: Contrastive Transfer Learning with Siamese Networks for APT Detection
di: Benabderrahmane, Sidahmed, et al.
Pubblicazione: (2025)

Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization
di: Aguilera-Martínez, Francisco, et al.
Pubblicazione: (2024)

Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition
di: Su, Xiaoyan, et al.
Pubblicazione: (2024)

Differential Privacy in Machine Learning: A Survey from Symbolic AI to LLMs
di: Aguilera-Martínez, Francisco, et al.
Pubblicazione: (2025)

Parallel Stacked Aggregated Network for Voice Authentication in IoT-Enabled Smart Devices
di: Khan, Awais, et al.
Pubblicazione: (2024)

Privacy-Preserving Distributed Optimization Under Time Constraints Using Secure Multi-Party Computation and Evolutionary Algorithms
di: Gruber, Sebastian, et al.
Pubblicazione: (2026)

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

On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach
di: Carlet, Claude, et al.
Pubblicazione: (2025)

Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Cases
di: Stamatelis, George, et al.
Pubblicazione: (2024)

A Systematic Study on the Design of Odd-Sized Highly Nonlinear Boolean Functions via Evolutionary Algorithms
di: Carlet, Claude, et al.
Pubblicazione: (2025)

Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks
di: Goldfeder, Judah, et al.
Pubblicazione: (2024)

Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
di: Dutta, Siddhant, et al.
Pubblicazione: (2024)

SpikeVox: Towards Energy-Efficient Speech Therapy Framework with Spike-driven Generative Language Models
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2025)

NEUROSEC: FPGA-Based Neuromorphic Audio Security
di: Isik, Murat, et al.
Pubblicazione: (2024)

Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering
di: Res, Jakub, et al.
Pubblicazione: (2024)

An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition
di: Farias, Lucas R. C., et al.
Pubblicazione: (2024)

Adversarial Example Generation using Evolutionary Multi-objective Optimization
di: Suzuki, Takahiro, et al.
Pubblicazione: (2019)

Adversarially Robust Spiking Neural Networks with Sparse Connectivity
di: Schmolli, Mathias, et al.
Pubblicazione: (2025)

On the Adversarial Robustness of Spiking Neural Networks Trained by Local Learning
di: Lin, Jiaqi, et al.
Pubblicazione: (2025)

MALT Powers Up Adversarial Attacks
di: Melamed, Odelia, et al.
Pubblicazione: (2024)

Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory
di: Masuyama, Naoki, et al.
Pubblicazione: (2023)

Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
di: Mahanipour, Afsaneh, et al.
Pubblicazione: (2024)

Impact of White-Box Adversarial Attacks on Convolutional Neural Networks
di: Podder, Rakesh, et al.
Pubblicazione: (2024)

Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
di: Poursiami, Hamed, et al.
Pubblicazione: (2024)

Boosting Adversarial Robustness and Generalization with Structural Prior
di: Hou, Zhichao, et al.
Pubblicazione: (2025)