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davide-coccomini / Adversarial-Magnification-to-Deceive-Deepfake-Detection-through-Super-Resolution

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Official code for the paper "Adversarial Magnification to Deceive Deepfake Detection through Super Resolution"

machine-learning ai computer-vision deep-learning pytorch vision convolutional-neural-networks adversarial super-resolution adversarial-machine-learning adversarial-attacks resnet50 deepfake deepfake-detection xceptionnet vision-transformers swin-transformer
  • Updated Jun 26, 2023
  • Python

anikch / Indoor-Scene-Recognition

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The dataset has a collection of about 15000+ labeled images belonging to 67 categories. I am selecting only below 10 categories ⚰ airport_inside, auditorium, bakery, bathroom, bookstore, casino, church_inside, grocerystore, operating_room, warehouse Objective is to create a model that will able to classify images into these 10 categories.

deep-learning cnn convolutional-neural-networks transfer-learning inception-v3 xceptionnet
  • Updated Jan 21, 2022
  • Jupyter Notebook

maheenshkk / deepfake-detection-system-deepdeception

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A deep learning-based web application for deepfake video detection, powered by the fine-tuned XceptionNet (Extreme Inception) model. The system allows users to upload videos for deepfake detection, processes them through the trained model, and provides results via a clean Django-based web interface.

machine-learning django computer-vision deep-learning pytorch artificial-intelligence fraud-detection deepfake-detection xceptionnet media-forensics
  • Updated Aug 28, 2025
  • HTML

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