Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance

arXiv:2609.30997 · cs.CR, cs.AI, cs.CV, cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.CR, cs.AI, cs.CV, cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/kaikaiyao/pixels-alone-provenance

Terminology

• Verifier — 83× in this paper · explained in 2 episodes
• Benchmark — 31× in this paper · explained in 2 episodes
• Provenance — 22× in this paper · explained in 4 episodes
• Robustness — 17× in this paper · explained in 5 episodes
• Abstention — 16× in this paper · explained in 1 episode
• Accuracy — 12× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 10× in this paper
• AUC — 9× in this paper · explained in 2 episodes
• Verification — 9× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 7× in this paper
• Generative Model — 6× in this paper · explained in 2 episodes
• Generative Models — 6× in this paper · explained in 2 episodes
• International Conference on Machine Learning — 4× in this paper
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Fingerprinting — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Adversarial Examples — 2× in this paper · explained in 2 episodes
• Adversarial Robustness — 2× in this paper · explained in 3 episodes
• Computer Vision and Pattern Recognition Workshops — 2× in this paper
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Strategy — 1× in this paper · explained in 1 episode
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Attack Success Rate (ASR) — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hybrid System — 1× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• System Identification — 1× in this paper · explained in 3 episodes

Sources

• ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
• Smudged Fingerprints: A Systematic Evaluation of the Robustness of AI Image Fingerprints
• SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction
• Adversarial Robustness of AI-Generated Image Detectors in the Real World
• Distilling the Knowledge in a Neural Network

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