AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation

arXiv:2607.16010 · cs.CR, cs.CL, cs.CY · Submitted 2026-07-17 · Read on arXiv

Saifur Rahman Tamim, Amir Labib Khan

cs.CR, cs.CL, cs.CY

Submitted: 2026-07-17

Comments: 9 pages, 4 figures. A version of this paper was submitted to the AAAI/ACM Conference on AI, Ethics, and Society (AIES) 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Admissibility — 13× in this paper · explained in 2 episodes
Robustness — 10× in this paper · explained in 5 episodes
Distillation — 9× in this paper · explained in 2 episodes
Semantic Similarity — 6× in this paper · explained in 2 episodes
Provenance — 4× in this paper · explained in 3 episodes
Trace — 4× in this paper · explained in 2 episodes
Verification — 4× in this paper · explained in 2 episodes
Cosine Similarity — 3× in this paper · explained in 3 episodes
Forensic Readiness Score — 3× in this paper
International Conference on Machine Learning — 2× in this paper
Knowledge Distillation — 2× in this paper · explained in 11 episodes
AUC — 1× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes

Sources

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