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DeepFake Detection

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하위 태스크: 5
평가표: 11
보존된 평가 기록: 30

DeepFake Detection is the task of detecting fake videos or images that have been generated using deep learning techniques. Deepfakes are created by using machine learning algorithms to manipulate or replace parts of an original video or image, such as the face of a person. The goal of deepfake detection is to identify such manipulations and distinguish them from real videos or images.

Description source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Image source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ajev-research/agg-layers-deepfake-detection

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Aggregating Layers for Deepfake Detection

https://github.com/amforever/fmfcc-a

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FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection

https://github.com/andrekassis/ai-watermark

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UnMarker: A Universal Attack on Defensive Image Watermarking

https://github.com/anmol2059/svdd2024

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Speech Foundation Model Ensembles for the Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024

https://github.com/anonrep/iba-for-video-sequences

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Extending Information Bottleneck Attribution to Video Sequences

https://github.com/anonymoususera/ava

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AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection

https://github.com/anubhav1997/youneednodataset

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A Dataless FaceSwap Detection Approach Using Synthetic Images

https://github.com/awsaf49/sonics

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SONICS: Synthetic Or Not -- Identifying Counterfeit Songs

https://github.com/bit-ml/DeCLIP

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DeCLIP: Decoding CLIP representations for deepfake localization

https://github.com/bit-ml/avh-align

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Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning

https://github.com/bit-ml/dolos

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Weakly-supervised deepfake localization in diffusion-generated images

https://github.com/bok-bok/MSOC

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A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection

https://github.com/boutiquelee/deepfakeempiricalstudy

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How Generalizable are Deepfake Image Detectors? An Empirical Study

https://github.com/cc-hpc-itwm/DeepFakeDetection

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Unmasking DeepFakes with simple Features

https://github.com/cfeng16/audio-visual-forensics

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Self-Supervised Video Forensics by Audio-Visual Anomaly Detection

https://github.com/chandlerbing65nm/FakeImageDetection

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Frequency Masking for Universal Deepfake Detection

https://github.com/chelsea234/hifi_ifdl

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DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection

https://github.com/chelsea234/m2f2_det

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Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector

https://github.com/chenhaoxing/DeMamba

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DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

https://github.com/chuangchuangtan/c2p-clip-deepfakedetection

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C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

https://github.com/chuangchuangtan/data-independent-operator

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Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection

https://github.com/chuangchuangtan/freqnet-deepfakedetection

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Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning

https://github.com/chuangchuangtan/npr-deepfakedetection

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Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection

https://github.com/clad23/clad

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CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning

https://github.com/clovaai/aasist

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AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks

https://github.com/clpeng/Awesome-Face-Forgery-Generation-and-Detection

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Countering Malicious DeepFakes: Survey, Battleground, and Horizon

https://github.com/controlnet/av-deepfake1m

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AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

https://github.com/croitorualin/biodeep

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Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook

https://github.com/cyjie429/rego

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Region-Based Optimization in Continual Learning for Audio Deepfake Detection

https://github.com/dan8991/the-sound-of-silence

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The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio Detection

https://github.com/danmohaha/celeb-deepfakeforensics

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Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

https://github.com/dash-lab/fakeavceleb

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FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

https://github.com/davidcombei/ai4t

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Unmasking real-world audio deepfakes: A data-centric approach

https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection

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Combining EfficientNet and Vision Transformers for Video Deepfake Detection

https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformersfor-Video-Deepfake-Detection

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Combining EfficientNet and Vision Transformers for Video Deepfake Detection

https://github.com/davide-coccomini/Cross-Forgery-Analysis-of-Vision-Transformers-and-CNNs-for-Deepfake-Image-Detection

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Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

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