A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System
cs.CV, cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/UofT-CIFAR/Synthetic-Evidence-Image-Corpus
Terminology
Sources
- Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
- On the detection of synthetic images generated by diffusion models
- The DeepFake Detection Challenge (DFDC) Dataset
- DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities
- ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
- Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
- How good are humans at detecting AI-generated images? Learnings from an experiment
- FaceForensics++: Learning to Detect Manipulated Facial Images
- Real-world Anomaly Detection in Surveillance Videos
- BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
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