论文解读
Exploiting Neural Audio Codec Latents for Adversarial Audio Attacks
生成对抗网络 | 7.2/10
对抗样本
每日研究速递
语音/音乐/音频论文速递 2026-06-23
共分析 83 篇语音/AI 论文
论文解读
Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks
语音识别 | 9.2/10
每日研究速递
语音/音乐/音频论文速递 2026-06-08
共分析 38 篇语音/AI 论文
论文解读
Codec-Robust Attacks on Audio LLMs
音频安全 | 8.3/10
论文解读
Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
音频安全 | 8.7/10
论文解读
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
每日研究速递
语音/音乐/音频论文速递 2026-05-11
共分析 12 篇语音/AI 论文
论文解读
Sparse Tokens Suffice: Jailbreaking Audio Language Models via Token-Aware Gradient Optimization
音频安全 | 7.5/10
论文解读
Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models
语音识别 | 8.0/10
论文解读
Are Deep Speech Denoising Models Robust to Adversarial Noise?
语音增强 对抗样本 | 8.5/10
论文解读
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
音频安全 | 8.0/10
论文解读
Are Deep Speech Denoising Models Robust to Adversarial Noise?
语音增强 | 7.5/10
论文解读
Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
大语言模型 | 7.5/10
论文解读
Adversarial Fine-Tuning on Speech Foundation Model with Vulnerable Attention Consistency Regularization for Robust Speech Recognition
语音识别 | 7.5/10
论文解读
Are Modern Speech Enhancement Systems Vulnerable to Adversarial Attacks?
语音增强 | 7.5/10
论文解读
Audio Classification Models are Vulnerable to Filter Perturbations
音频分类 | 7.5/10
论文解读
Audio-Text Jailbreak Attack on Large Audio-Language Models: Towards Generality and Stealthiness
音频安全 | 7.0/10
论文解读
Cooperative Multi-Agent Reinforcement Learning for Adaptive Aggregation in Semi-Supervised Federated Learning with non-IID Data
联邦学习 | 7.0/10
论文解读
Emotional Damage: Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations
音频安全 | 7.5/10