Web Analytics
ArtyShield Logo

MusicShield

Research-backed, patent-pending protection for musicians in the era of generative AI. Apply imperceptible audio shields before release to prevent unauthorized training, style imitation, and AI-driven editing.

Music technology background

Scientifically Proven Protection Against Unauthorized AI Exploitation

MusicShield introduces imperceptible audio perturbations that safeguard music against unauthorized use by generative AI. These carefully designed perturbations are inaudible to human listeners yet disrupt the ability of AI models to learn, replicate, or edit the protected audio. Our research demonstrates robust effectiveness across state-of-the-art open-source models such as MusicLM, MusicGen, JASCO, and Riffusion, as well as commercial platforms including Suno and Udio. By embedding protection directly into the music itself, MusicShield empowers artists to share their work with confidence, ensuring that creative ownership and integrity are preserved in the era of AI.

470+

Music professionals tested our approach in comprehensive user studies.

Grounded in Scientific Research

IEEE S&P Conference Logo

MusicShield is built upon our peer-reviewed research accepted to IEEE Symposium on Security and Privacy (S&P 2026), providing a rigorous scientific foundation for the technology.

The paper will be released when the camera-ready version is finalized.

AI and music technology protection

Research-Backed

How MusicShield Protects Your Music

Our scientifically proven approach uses four key protection mechanisms to safeguard your music from AI exploitation while remaining completely imperceptible to human listeners.

🎯

Target-Guided Feature Shifting

Modifies music at the waveform level by adding perturbations that shift perceptual and genre-related features toward a selected copyright-free target track.

👂

Psychoacoustic Masking

Uses advanced psychoacoustic models to ensure perturbations remain imperceptible to human listeners by computing frequency masking thresholds.

🛡️

Robust Perturbation Optimization

Generates perturbations effective against real-world transformations including pitch-shifting, EQ, noise, and compression codecs like MP3, AAC, and OGG.

⚖️

Perceptual & Semantic Loss Balancing

Balances perceptual similarity and semantic divergence to confuse AI models while preserving audio quality and maintaining the original musical essence.

Listen & Compare

Audio Samples & Demonstrations

Experience how MusicShield protects music while maintaining perceptual quality. Compare original tracks with their protected versions and see how AI models respond.

Perception Quality Assessment

Listen to these pairs to assess the perceptual similarity between original and shielded music. The protection is designed to be imperceptible to human listeners.

Sample Original Music Protected Music
Sample 1
Classical piece
Original
Protected
Sample 2
Electronic track
Original
Protected
Sample 3
Folk music
Original
Protected

Protection Against Music Editing

See how MusicShield prevents AI models from editing and manipulating your music. When AI models try to edit protected music, they produce different results that redirect toward target tracks.

Original Music & AI Generations Protected Music & AI Generations
Base Original Track
Protected Music
Target Redirection
AI Generations w/ Original Track:
AI Generations w/ Protected Track:
Prompt: 8-bit Video Game Music (MusicGen)
Prompt: 8-bit Video Game Music (MusicGen)
Prompt: Hip-hop Music with Beats (Jasco)
Prompt: Hip-hop Music with Beats (Jasco)
Prompt: Rock Music with Drums & Guitars (MusicLM)
Prompt: Rock Music with Drums & Guitars (MusicLM)
Prompt: Traditional Indian Music (Riffusion)
Prompt: Traditional Indian Music (Riffusion)

Protection Against Unauthorized Training

These samples demonstrate how MusicShield prevents AI models from learning musical features during training. Models trained on protected music learn the target characteristics instead of the original music.

Original Training & AI Generations Protected Training & AI Generations
Original Training Sample
Protected Training Sample
Target Redirection
AI Generations from AI Trained on Original Tracks:
AI Generations from AI Trained on Protected Tracks:
Prompt: 8-bit Video Game Music (MusicGen)
Prompt: 8-bit Video Game Music (MusicGen)
Prompt: Hip-hop Music with Beats (Jasco)
Prompt: Hip-hop Music with Beats (Jasco)
Prompt: Rock Music with Drums & Guitars (MusicLM)
Prompt: Rock Music with Drums & Guitars (MusicLM)
Prompt: Traditional Indian Music (Riffusion)
Prompt: Traditional Indian Music (Riffusion)

Ready to Protect Your Music?

Try our MusicShield Beta demo to see how our AI protection technology works, or partner with us to integrate cutting-edge music protection into your platform.

Partner With Us