Deepfake Image Detection with Lightweight Models

[NeurIPS'25 Workshop GenProCC] SHIELD: A Benchmark Study on Zero-Shot Detection of AI-Edited Images with Vision Language Models

Detect whether an image of a face is a real person or an AI-generated forgery. Our work builds on the baseline set down by Diffusion Facial Forgery Detection (https://arxiv.org/abs/2401.15859)

Advanced voice cloning and speech synthesis system that can mimic any voice with just 30 seconds of audio - enterprise-grade voice AI with emotion control.

Advanced multi-model deepfake detection framework combining ensemble machine learning with deep neural networks for robust image authentication and media forensics.

Official repository of "Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection" [ICCV 2025]

Implementation of SSL ViT to Detect DeepFakes, pretrained on CelebA, finetuned on DFDC's train split.

PixelGuard protects images from AI scraping and unauthorized use in AI training, such as facial recognition models or style transfer algorithms. It employs multiple invisible protection techniques that mostly imperceptible to the eye but can interfere with AI processing.

FIRM-Net for robust deepfake detection, leveraging PyTorch and EfficientNetV2. Enhances generalization on DFDC

[CVPR'25] CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI

Combating Falsification of Speech Videos with Live Optical Signatures (CCS '25)

Official code for "LATTE: Latent Trajectory Embedding for Diffusion-Generated Image Detection"

[--branch main] FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning (CVPR25)　　 　　　　　　　　　[--branch FSVFM-extension] Scalable Face Security Vision Foundation Model for Deepfake, Diffusion, and Spoofing Detection (Extented Version)

Traditional security cameras are reactive, not intelligent. They generate countless false alarms from passing cars, pets, or weather, leading to alert fatigue. CASC (Contextual Aware Security Cam) is a project designed to solve this problem by creating a truly smart surveillance system. By employing a multimodal AI pipeline, fuses data from motion

https://arxiv.org/abs/2509.22070

UnFake is the first platform to integrate a deepfake detection tool directly into the image-downloading process. Check Live by pressing below link -->

Code for my master's thesis on detecting deepfake audio using machine learning techniques.

VerifyVision-Pro是一个全面的图像伪造篡改检测解决方案，利用深度学习（deep learning）和计算机视觉技术（cv）精确识别各类图像篡改，包括deepfake、AI生成内容、拼接操作和复制-移动篡改。基于PyTorch实现，集成了从数据处理、模型训练到部署的完整工作流程。

Source Code for "A Comparative Study of Deep Learning and Traditional Models for Human Face Image Deepfake Detection"

Deepfake Image Detection with Keras & TensorFlow