Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lim, Yewon, Lee, Changyeon, Kim, Aerin, Etzioni, Oren
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Tug-of-War Between Deepfake Generation and Detection
by: Lee, Hannah, et al.
Published: (2024)

Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
by: Bai, Yatong, et al.
Published: (2023)

A Quality-Centric Framework for Generic Deepfake Detection
by: Song, Wentang, et al.
Published: (2024)

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
by: Abdullah, Sifat Muhammad, et al.
Published: (2024)

DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal
by: Shi, Jiaeli, et al.
Published: (2023)

ForensicFlow: A Tri-Modal Adaptive Network for Robust Deepfake Detection
by: Romani, Mohammad
Published: (2025)

Nearly Solved? Robust Deepfake Detection Requires More than Visual Forensics
by: Levy, Guy, et al.
Published: (2024)

Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
by: Ke, Zong, et al.
Published: (2025)

FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Guided by Facial Recognizers
by: Kim, Younhun, et al.
Published: (2024)

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework
by: Le, Binh M., et al.
Published: (2024)

NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models
by: Goren, Nir, et al.
Published: (2025)

DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
by: Aboutalebi, Hossein, et al.
Published: (2023)

Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
by: Liu, Bochao, et al.
Published: (2024)

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)

DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
by: Zhao, Kangran, et al.
Published: (2025)

Naïve Exposure of Generative AI Capabilities Undermines Deepfake Detection
by: Kim, Sunpill, et al.
Published: (2026)

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
by: Zhou, Yuxuan, et al.
Published: (2025)

Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces
by: Hu, Juan, et al.
Published: (2024)

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2024)

Reduced Spatial Dependency for More General Video-level Deepfake Detection
by: Chu, Beilin, et al.
Published: (2025)

Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
by: Grabovski, Fred, et al.
Published: (2024)

DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
by: Kumar, Saksham, et al.
Published: (2025)

DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
by: Sui, Yang, et al.
Published: (2024)

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
by: Wang, Zhenting, et al.
Published: (2023)

Federated Learning with Label-Masking Distillation
by: Lu, Jianghu, et al.
Published: (2024)

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
by: Guan, Zihan, et al.
Published: (2024)

Combating Digitally Altered Images: Deepfake Detection
by: Kumar, Saksham, et al.
Published: (2025)

How Generalizable are Deepfake Image Detectors? An Empirical Study
by: Li, Boquan, et al.
Published: (2023)

Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
by: Rahman, Mushfiqur, et al.
Published: (2023)

2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems
by: Galdi, Chiara, et al.
Published: (2024)

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
by: Yuan, Shuaiwei, et al.
Published: (2025)

Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms
by: Villani, Francesco, et al.
Published: (2024)

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
by: Lan, Shulin, et al.
Published: (2024)

Addressing Deepfake Issue in Selfie banking through camera based authentication
by: Mukherjee, Subhrojyoti, et al.
Published: (2025)

Deepfake detection in videos with multiple faces using geometric-fakeness features
by: Vyshegorodtsev, Kirill, et al.
Published: (2024)

VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
by: Chou, Sheng-Yen, et al.
Published: (2023)

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)

Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism
by: Sarkar, Trilokesh Ranjan, et al.
Published: (2024)

Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
by: Yilmaz, Eda, et al.
Published: (2024)

Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
by: Li, Wenda, et al.
Published: (2024)