Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks
This work introduces a dual-signal watermarking scheme for LLM outputs that simultaneously proves provenance and detects tampering, addressing a gap where existing robust watermarks paradoxically enable attackers to modify content while maintaining false attribution. The approach uses complementary signals within the same watermarking mechanism to provide both protections.
Why this matters
This work introduces a dual-signal watermarking scheme for LLM outputs that simultaneously proves provenance and detects tampering, addressing a gap where existing robust watermarks paradoxically enable attackers to modify content while maintaining false attribution. The approach uses complementary signals within the same watermarking mechanism to provide both protections.
Check the original work
This explanation is Korpalis’s guide to the material, not a replacement for it. Read the publisher’s page for the full method, evidence and limitations.