Cover Image

When Fine-Tuning is Not Enough: Lessons from HSAD on Hybrid and Adversarial Audio Spoof Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Bin, Huang, Kunyang, Kwak, Daehan, Xu, Meng, Huang, Kuan
Format:	Preprint
Published:	2025
Subjects:	Sound Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid Audio Detection Using Fine-Tuned Audio Spectrogram Transformers: A Dataset-Driven Evaluation of Mixed AI-Human Speech
by: Huang, Kunyang, et al.
Published: (2025)

Benign Fine-Tuning Breaks Safety Alignment in Audio LLMs
by: Roh, Jaechul, et al.
Published: (2026)

Interpretable Temporal Class Activation Representation for Audio Spoofing Detection
by: Li, Menglu, et al.
Published: (2024)

A Preliminary Case Study on Long-Form In-the-Wild Audio Spoofing Detection
by: Liu, Xuechen, et al.
Published: (2024)

Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors
by: Yao, Lingfeng, et al.
Published: (2026)

Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
by: Wang, Yanyun, et al.
Published: (2026)

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

STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling
by: Wang, Kun, et al.
Published: (2026)

When Good Sounds Go Adversarial: Jailbreaking Audio-Language Models with Benign Inputs
by: Dingeto, Hiskias, et al.
Published: (2025)

SyncGuard: Robust Audio Watermarking Capable of Countering Desynchronization Attacks
by: Gan, Zhenliang, et al.
Published: (2025)

Vulnerabilities of Audio-Based Biometric Authentication Systems Against Deepfake Speech Synthesis
by: Hong, Mengze, et al.
Published: (2026)

Selective Masking Adversarial Attack on Automatic Speech Recognition Systems
by: Fang, Zheng, et al.
Published: (2025)

SARSteer: Safeguarding Large Audio-Language Models via Safe-Ablated Refusal Steering
by: Lin, Weilin, et al.
Published: (2025)

MelShield: Robust Mel-Domain Audio Watermarking for Provenance Attribution of AI Generated Synthesized Speech
by: Jin, Yutong, et al.
Published: (2026)

IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection
by: Zhu, Jiajie, et al.
Published: (2026)

Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection
by: Chen, Meng, et al.
Published: (2026)

Spoofing attack augmentation: can differently-trained attack models improve generalisation?
by: Ge, Wanying, et al.
Published: (2023)

ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic Features
by: Cheng, Peng, et al.
Published: (2024)

AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
by: Kang, Mintong, et al.
Published: (2024)

Adversarial Representation Learning for Robust Privacy Preservation in Audio
by: Gharib, Shayan, et al.
Published: (2023)

Pitch Imperfect: Detecting Audio Deepfakes Through Acoustic Prosodic Analysis
by: Warren, Kevin, et al.
Published: (2025)

One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection
by: Kim, Hyun Myung, et al.
Published: (2024)

Yours or Mine? Overwriting Attacks Against Neural Audio Watermarking
by: Yao, Lingfeng, et al.
Published: (2025)

PRoADS: Provably Secure and Robust Audio Diffusion Steganography with latent optimization and backward Euler Inversion
by: Yan, YongPeng, et al.
Published: (2026)

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

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

EveGuard: Defeating Vibration-based Side-Channel Eavesdropping with Audio Adversarial Perturbations
by: Chang, Jung-Woo, et al.
Published: (2024)

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

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

Generalizing Speaker Verification for Spoof Awareness in the Embedding Space
by: Liu, Xuechen, et al.
Published: (2024)

Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection
by: PN, Aravinda Reddy, et al.
Published: (2024)

Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning
by: Luong, Diep, et al.
Published: (2023)

SilentCipher: Deep Audio Watermarking
by: Singh, Mayank Kumar, et al.
Published: (2024)

CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning
by: Wu, Haolin, et al.
Published: (2024)

JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
by: Peng, Zifan, et al.
Published: (2025)

DeePen: Penetration Testing for Audio Deepfake Detection
by: Müller, Nicolas, et al.
Published: (2025)

SafeEar: Content Privacy-Preserving Audio Deepfake Detection
by: Li, Xinfeng, et al.
Published: (2024)

Adversarial Attacks and Defenses for Speech Recognition Systems
by: Żelasko, Piotr, et al.
Published: (2021)

Invisible Ears at Your Fingertips: Acoustic Eavesdropping via Mouse Sensors
by: Fakih, Mohamad, et al.
Published: (2025)

ClearMask: Noise-Free and Naturalness-Preserving Protection Against Voice Deepfake Attacks
by: Wang, Yuanda, et al.
Published: (2025)