Image Attribution

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

17 shown of 17 papers with code (26 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
  7 Oct 2016 126 repositories listed Syntology ran 79 of 141 samples · 62 unverified · 68 pointer-only (licence)
  For captioning and VQA, we show that even non-attention based models can localize inputs.
• Axiomatic Attribution for Deep Networks
  4 Mar 2017 40 repositories listed Syntology ran 36 of 56 samples · 20 unverified · 17 pointer-only (licence)
  We study the problem of attributing the prediction of a deep network to its input features, a problem previously studied by several other works.
• "Why Should I Trust You?": Explaining the Predictions of Any Classifier
  16 Feb 2016 27 repositories listed Syntology ran 5 of 19 samples · 14 unverified
  Despite widespread adoption, machine learning models remain mostly black boxes.
• Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  20 Dec 2013 23 repositories listed Syntology ran 1 of 4 samples · 3 unverified · 1 pointer-only (licence)
  This paper addresses the visualisation of image classification models, learnt using deep Convolutional Networks (ConvNets).
• A Unified Approach to Interpreting Model Predictions
  22 May 2017 17 repositories listed Syntology ran 3 of 8 samples · 5 unverified · 6 pointer-only (licence)
  Understanding why a model makes a certain prediction can be as crucial as the prediction's accuracy in many applications.
• RISE: Randomized Input Sampling for Explanation of Black-box Models
  19 Jun 2018 13 repositories listed Syntology ran 1 of 34 samples · 33 unverified · 10 pointer-only (licence)
  We compare our approach to state-of-the-art importance extraction methods using both an automatic deletion/insertion metric and a pointing metric based on human-annotated object segments.
• Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
  18 Feb 2021 3 repositories listed
  We also found that the Latent Shift explanation allows a user to have more confidence in true positive predictions compared to traditional approaches (0.
• What the DAAM: Interpreting Stable Diffusion Using Cross Attention
  10 Oct 2022 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Large-scale diffusion neural networks represent a substantial milestone in text-to-image generation, but they remain poorly understood, lacking interpretability analyses.
• Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
  20 Nov 2018 2 repositories listed
  Our experiments show that (1) GANs carry distinct model fingerprints and leave stable fingerprints in their generated images, which support image attribution; (2) even minor differences in GAN training can result in…
• LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution
  10 Apr 2025 1 repository listed
  Our extensive experimentation shows LoRAX outperforms or remains competitive with state-of-the-art class incremental learning algorithms on the Continual Deepfake Detection benchmark across all training scenarios and…
• Detecting Origin Attribution for Text-to-Image Diffusion Models
  28 Mar 2024 1 repository listed
  Modern text-to-image (T2I) diffusion models can generate images with remarkable realism and creativity.
• Less is More: Fewer Interpretable Region via Submodular Subset Selection
  14 Feb 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  For incorrectly predicted samples, our method achieves gains of 81.
• A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images
  19 Jul 2023 1 repository listed
  In the second setting, the system verifies a claim about the architecture used to generate a synthetic image, utilizing one or multiple reference images generated by the claimed architecture.
• RepMix: Representation Mixing for Robust Attribution of Synthesized Images
  5 Jul 2022 1 repository listed
  Uniquely, we present a solution to this task capable of 1) matching images invariant to their semantic content; 2) robust to benign transformations (changes in quality, resolution, shape, etc.)
• Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
  13 Jun 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  HSIC measures the dependence between regions of an input image and the output of a model based on kernel embeddings of distributions.
• Deepfake Network Architecture Attribution
  28 Feb 2022 1 repository listed
  With the rapid progress of generation technology, it has become necessary to attribute the origin of fake images.
• Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
  15 Jun 2021 1 repository listed
  To tackle this problem, we propose a framework with two components: a Fingerprint Estimation Network (FEN), which estimates a GM fingerprint from a generated image by training with four constraints to encourage the…

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.