DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps
Jocelyn Dzuong

TL;DR
DejAIvu is a real-time Chrome extension that detects AI-generated images on the web using deep learning and provides visual explanations with saliency maps to promote transparency and accountability.
Contribution
It introduces a practical in-browser AI image detection tool with saliency-based explainability, combining efficient inference and user-friendly visualization.
Findings
High detection accuracy across multiple architectures
Low latency suitable for real-time browsing
Effective visualization of AI artifacts with saliency maps
Abstract
The recent surge in advanced generative models, such as diffusion models and generative adversarial networks (GANs), has led to an alarming rise in AI-generated images across various domains on the web. While such technologies offer benefits such as democratizing artistic creation, they also pose challenges in misinformation, digital forgery, and authenticity verification. Additionally, the uncredited use of AI-generated images in media and marketing has sparked significant backlash from online communities. In response to this, we introduce DejAIvu, a Chrome Web extension that combines real-time AI-generated image detection with saliency-based explainability while users browse the web. Using an ONNX-optimized deep learning model, DejAIvu automatically analyzes images on websites such as Google Images, identifies AI-generated content using model inference, and overlays a saliency heatmap…
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Taxonomy
TopicsAesthetic Perception and Analysis · Visual Attention and Saliency Detection · Generative Adversarial Networks and Image Synthesis
MethodsDiffusion · Heatmap
