PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 15, 201913 citations

Multimedia Forensics

View Full Paper
LVLuisa VerdolivaPBPaolo Bestagini

Key Points

Key points are not available for this paper at this time.

Abstract

With the availability of powerful and easy-to-use media editing tools, falsifying images and videos has become widespread in the last few years. Coupled with ubiquitous social networks, this allows for the viral dissemination of fake news. This raises huge concerns on multimedia security. This scenario became even worse with the advent of deep learning. New, sophisticated methods have been proposed to accomplish manipulations that were previously unthinkable (e.g., deepfake). This tutorial will present the most reliable methods for detection of manipulated images and for source identification. These are important tools nowadays to carry out fact checking and authorship verification. Hence, this is a timely and relevant research topic in the multimedia security research community.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Verdoliva et al. (2019) studied this question.

synapsesocial.com/papers/6a01139fef8139f8ff77ba6ahttps://doi.org/10.1145/3343031.3350542
Ask AI
Helpful
Bookmark
Share
View Full Paper