Deepfake detection: A comprehensive survey from the reliability perspective

T Wang, X Liao, KP Chow, X Lin, Y Wang - ACM Computing Surveys, 2024 - dl.acm.org
The mushroomed Deepfake synthetic materials circulated on the internet have raised a
profound social impact on politicians, celebrities, and individuals worldwide. In this survey …

Stateful defenses for machine learning models are not yet secure against black-box attacks

R Feng, A Hooda, N Mangaokar, K Fawaz… - Proceedings of the …, 2023 - dl.acm.org
Recent work has proposed stateful defense models (SDMs) as a compelling strategy to
defend against a black-box attacker who only has query access to the model, as is common …

Inspector for Face Forgery Detection: Defending Against Adversarial Attacks From Coarse to Fine

R **a, D Zhou, D Liu, J Li, L Yuan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The emergence of face forgery has raised global concerns on social security, thereby
facilitating the research on automatic forgery detection. Although current forgery detectors …

Deep ensemble learning for fake digital image detection: A convolutional neural network-based approach

GR Panigrahi, PK Sethy, SPR Borra… - Revue d' …, 2023 - search.proquest.com
The advent of deep learning (DL) technologies has paved the way for a plethora of
applications, the creation of hyperrealistic images via generative adversarial networks …

Building Trust in Deepfake Detection: A Survey of Adversarial and Anti-forensic Attacks and Defensive Strategies

H Ilyas, F Khalid, A Javed, KM Malik, A Irtaza - 2024 - papers.ssrn.com
As the technology behind deepfakes advances, detecting audiovisual deepfakes becomes
more and more crucial, and the rise of traditional and generative AI-based adversarial/anti …

Enhancing Resilience of Deepfake Detection using Adversarial Frequency Masking.

N Seth, N Patel, R **dal - Grenze International Journal of …, 2024 - search.ebscohost.com
This research presents an advanced approach to deepfake detection that combines
frequency domain masking with adversarial training techniques to enhance the precision …

人脸伪造与检测中的对抗攻防综述.

黄诗瑀, 叶锋, 黄添**, **伟… - Chinese Journal of …, 2023 - search.ebscohost.com
人脸伪造和检测是当前的研究热点. 通过人脸伪造方法可以制作虚假人脸图像和视频,
一些出于恶意目的而将名人虚假视频在社交网络上广泛传播, 不仅侵犯了受害者的声誉 …

深度伪造生成与检测研究综述.

唐玉敏, 范菁, 曲金帅 - Journal of Computer Engineering & …, 2022 - search.ebscohost.com
目前用于建立和操作多媒体信息技术已经发展到了可确保高度真实感的程度.
深度伪造作为一种生成式深度学**算法, 可实现音频, 图像, 视频的伪造生成 …