Collaboration Proposal: Two-Layer Defense (EditGuard + Hardware-Bound ASIC Watermarking)

[Agnuxo1]

Hi @xuanyuzhang21,

Congratulations on EditGuard's CVPR 2024 acceptance! The tamper localization results look impressive.

SiliconSignature — Hardware-Bound Watermarking

I'd like to propose a complementary approach that addresses a different threat model.

How We Differ (And Complement)

Aspect	EditGuard	SiliconSignature
Forge cost	Retrain model	$10,000+ (buy ASIC)
Hardware bound	No	Yes (Antminer S9)
Tamper detection	Localization mask	Exact pixel changes (RS syndrome)
Offline verify	Requires model	Math only (no ML)
Target	AIGC editing	Any image (camera, AI, scan)

Proposed Collaboration

Two-layer defense:

1. EditGuard: Proactive watermarking for AIGC-generated images (your focus)
2. SiliconSignature: Hardware-bound signing for any image source (our focus)

When an image has both watermarks:

• EditGuard proves it was proactively protected
• SiliconSignature proves the specific ASIC that signed it
• Tampering breaks both = maximum confidence

Specific Integration Idea

Could we add a SiliconSignature verification node to your inference pipeline? After EditGuard detects tampering, SiliconSignature could:

• Verify if the image was ever signed
• Reveal which pixels were modified (via Reed-Solomon syndrome)
• Provide hardware identity of the original signer

Technical Details

• ASIC: SHA-256 proof-of-work on Antminer S9 BM1387
• Watermark: Reed-Solomon GF(2^8) LSB, 5× redundancy
• Survival: 40% pixel destruction = fully recoverable
• Code: Pure Python, MIT license
• Repo: https://github.com/Agnuxo1/Secure_image_generation_with_ASIC_signature

Author: Francisco Angulo de Lafuente (@Agnuxo1) — 35 years research

— Francisco