Detection of Steganographic Messages in Email Attachment

Synchronization Detection and Recovery of Steganographic Messages with Adversarial Learning

As a means for secret communication, steganography aims at concealing a message within a medium such that the presence of the hidden message can hardly be detected. In computer vision tasks, adversarial training has become a competitive learning method to generate images. However, the generative tasks are confronted with great challenge on synthesizing images. This paper studies the mechanism o...

Extracting hidden messages in steganographic images

The eventual goal of steganalytic forensic is to extract the hidden messages embedded in steganographic images. A promising technique that addresses this problem partially is steganographic payload location, an approach to reveal the message bits, but not their logical order. It works by finding modified pixels, or residuals, as an artifact of the embedding process. This technique is successful...

Understanding Email Writers: Personality Prediction from Email Messages

Email is a ubiquitous communication tool and constitutes a significant portion of social interactions. In this paper, we attempt to infer the personality of users based on the content of their emails. Such inference can enable valuable applications such as better personalization, recommendation, and targeted advertising. Considering the private and sensitive nature of email content, we propose ...

Automatic Classification of Swedish Email Messages

Displaying Downgraded Messages for Email Address Internationalization

This document defines an Experimental Protocol for the Internet community. This document is a product of the Internet Engineering Task Force (IETF). It represents the consensus of the IETF community. It has received public review and has been approved for publication by the Internet Engineering Steering Group (IESG). Not all documents approved by the IESG are a candidate for any level of Intern...