5 papers
LambdaMark: Semantic Audio Watermarking for Robustness and Radioactivity
Kexin Li, Xiao Hu, Ilya Grishchenko +1
Recent advances in generative audio have made voice cloning increasingly effortless, enabling voice fraud, impersonation, and other forms of unauthorized use. A common attack finet…
Prompt Amplification and Zero-Shot Late Fusion in Audio-Language Models for Speech Emotion Recognition
Saurabh Kataria, Xiao Hu
Audio-Language Models (ALMs) are making strides in understanding speech and non-speech audio. However, domain-specialist Foundation Models (FMs) remain the best for closed-ended sp…
HarmonicAttack: An Adaptive Cross-Domain Audio Watermark Removal
Kexin Li, Xiao Hu, Ilya Grishchenko +1
The availability of high-quality, AI-generated audio raises security challenges such as misinformation campaigns and voice-cloning fraud. A key defense against the misuse of AI-gen…
MARAGE: Transferable Multi-Model Adversarial Attack for Retrieval-Augmented Generation Data Extraction
Xiao Hu, Eric Liu, Weizhou Wang +2
Retrieval-Augmented Generation (RAG) offers a solution to mitigate hallucinations in Large Language Models (LLMs) by grounding their outputs to knowledge retrieved from external so…
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
Weizhou Wang, Eric Liu, Xiangyu Guo +3
Supervised-learning-based vulnerability detectors often fall short due to limited labelled training data. In contrast, Large Language Models (LLMs) are trained on vast unlabelled c…