PhD Candidate in AI Security & Music Information Retrieval
Xi'an Jiaotong-Liverpool University
Interactive demonstrations of cutting-edge research in AI security and music analysis
Importance-driven adversarial attacks via music inpainting for MIR systems. Uses GACELA inpainting model with adversarial guidance for targeted modifications.
Membership inference for music diffusion models via generative manifold perturbation. Measures adversarial cost across diffusion timesteps for robust detection.
Structure-aware membership inference attacks for music generation models. Exploits token-level and structural patterns for improved detection.
Adversarial perturbations that prevent diffusion models from learning your music style. Protects music through training-time CLAP embedding misalignment.