Deepfake detection: A systematic literature review
Over the last few decades, rapid progress in AI, machine learning, and deep learning has
resulted in new techniques and various tools for manipulating multimedia. Though the …
resulted in new techniques and various tools for manipulating multimedia. Though the …
Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
Detectgpt: Zero-shot machine-generated text detection using probability curvature
The increasing fluency and widespread usage of large language models (LLMs) highlight
the desirability of corresponding tools aiding detection of LLM-generated text. In this paper …
the desirability of corresponding tools aiding detection of LLM-generated text. In this paper …
The stable signature: Rooting watermarks in latent diffusion models
Generative image modeling enables a wide range of applications but raises ethical
concerns about responsible deployment. This paper introduces an active strategy combining …
concerns about responsible deployment. This paper introduces an active strategy combining …
Identifying and mitigating the security risks of generative ai
Every major technical invention resurfaces the dual-use dilemma—the new technology has
the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, such …
the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, such …
Deepfakes and beyond: A survey of face manipulation and fake detection
The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …
learning techniques, in particular Generative Adversarial Networks, have led to the …
Analysis survey on deepfake detection and recognition with convolutional neural networks
Deep Learning (DL) is the most efficient technique to handle a wide range of challenging
problems such as data analytics, diagnosing diseases, detecting anomalies, etc. The …
problems such as data analytics, diagnosing diseases, detecting anomalies, etc. The …
Deep learning for deepfakes creation and detection: A survey
Deep learning has been successfully applied to solve various complex problems ranging
from big data analytics to computer vision and human-level control. Deep learning advances …
from big data analytics to computer vision and human-level control. Deep learning advances …
Self-consuming generative models go mad
Seismic advances in generative AI algorithms for imagery, text, and other data types has led
to the temptation to use synthetic data to train next-generation models. Repeating this …
to the temptation to use synthetic data to train next-generation models. Repeating this …
Combining efficientnet and vision transformers for video deepfake detection
Deepfakes are the result of digital manipulation to forge realistic yet fake imagery. With the
astonishing advances in deep generative models, fake images or videos are nowadays …
astonishing advances in deep generative models, fake images or videos are nowadays …