Recent years have seen a substantial increase in interest in deepfakes, a fast-developing
field at the nexus of artificial intelligence and multimedia. These artificial media creations …

Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure Internet of Things (IoT). Many deep learning (DL) …

Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …

Recent advancements in diffusion models have enabled the generation of realistic
deepfakes by writing textual prompts in natural language. While these models have …

Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …

Deepfake techniques can forge the visual or audio signals in the video, which leads to
inconsistencies between visual and audio (VA) signals. Therefore, multimodal detection …

Deepfakes are AI-generated media in which an image or video has been digitally modified.
The advancements made in deepfake technology have led to privacy and security issues …

Most deepfake detection methods focus on detecting spatial and/or spatio-temporal changes
in facial attributes and are centered around the binary classification task of detecting …

In recent years, audio spoofing detection has received widespread attention for protecting
personal privacy and social security. Despite the significant progress achieved in audio …

In addition to the advancements in deepfake generation, corresponding detection
technologies need to continuously evolve to regulate the potential misuse of deepfakes …