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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/liangchen527/sladd

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Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

https://github.com/littlejuyan/df_fairness

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Improving Fairness in Deepfake Detection

https://github.com/liu-tianchi/nes2net

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Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing

https://github.com/ljj898/cmdfd-dataset-and-deepfake-detection

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Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection

https://github.com/lsy0882/FakeMix

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WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection

https://github.com/lxq1000/dfa-instruct

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Towards Interactive Deepfake Analysis

https://github.com/magnet300/camme

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CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention

https://github.com/manyilee/plada

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Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks

https://github.com/mapooon/selfblendedimages

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Detecting Deepfakes with Self-Blended Images

https://github.com/mattgroh/cognitive-science-detecting-deepfakes

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Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds

https://github.com/megvii-research/caddm

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Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization

https://github.com/megvii-research/fst-matching

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Explaining Deepfake Detection by Analysing Image Matching

https://github.com/miraflow/DistilDIRE

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DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection

https://github.com/mit-ll/lorax_cil

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LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution

https://github.com/mittalgovind/GOTCHA-Deepfakes

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GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response

https://github.com/monu-khicher-1/multi-stage-learning

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Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection

https://github.com/nctu-eva-lab/antifakeprompt

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AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

https://github.com/nii-yamagishilab/ssl_vits_df

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Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis

https://github.com/nilslukas/gan-watermark

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PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators

https://github.com/ningyu1991/ArtificialGANFingerprints

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Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

https://github.com/nowindbutrain/blockshufflelearning

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Block shuffling learning for Deepfake Detection

https://github.com/nuriachandra/deepfake-eval-2024

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Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024

https://github.com/oidelima/Deepfake-Detection

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Deepfake Detection using Spatiotemporal Convolutional Networks

https://github.com/ondyari/FaceForensics

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FaceForensics++: Learning to Detect Manipulated Facial Images

https://github.com/orchidchetiaphukan/multilingualptm_add_naacl24

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Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake

https://github.com/parul-gupta/multifakeverse

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Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations

https://github.com/piotrkawa/attack-agnostic-dataset

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Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection

https://github.com/piotrkawa/audio-deepfake-adversarial-attacks

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Defense Against Adversarial Attacks on Audio DeepFake Detection

https://github.com/piotrkawa/deepfake-whisper-features

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Improved DeepFake Detection Using Whisper Features

https://github.com/piotrkawa/specrnet

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SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection

https://github.com/polimi-ispl/icpr2020dfdc

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Video Face Manipulation Detection Through Ensemble of CNNs

https://github.com/pratikpv/mri_gan_deepfake

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MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment

https://github.com/pterhoer/DeepFakeAnnotations

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Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

https://github.com/purdue-m2/auc_fairness_with_noisy_groups

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Preserving AUC Fairness in Learning with Noisy Protected Groups

https://github.com/purdue-m2/fairness-generalization

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Preserving Fairness Generalization in Deepfake Detection

https://github.com/purdue-m2/sp_cup

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Robust AI-Generated Face Detection with Imbalanced Data

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