Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Spam in recent years has pervaded all forms of digital communication. The increase in user
base for social platforms like Facebook, Twitter, YouTube, etc., has opened new avenues for …

Nowadays, because of the undeniable impact of the Internet on all aspects of human life,
security preserving has received more attention. To reach an acceptable level of security …

This paper presents a systematic approach to identify and quantify the types of structures
featured by packet traces in communication networks. Our approach leverages an …

Written by leading researchers, this complete introduction brings together all the theory and
tools needed for building robust machine learning in adversarial environments. Discover …

This paper proposes a novel methodology for the detection of intrusive comments or spam
on the video-sharing website-Youtube. We describe spam comments as those which have a …

In this position paper, we argue that to be of practical interest, a machine-learning based
security system must engage with the human operators beyond feature engineering and …

This paper proposes a technique to detect spam comments on YouTube, which have
recently seen tremendous growth. YouTube is running its own spam blocking system but …

Active learning is an area of machine learning examining strategies for allocation of finite
resources, particularly human labeling efforts and to an extent feature extraction, in …

We categorize the user comments posted on YouTube video sharing website based on their
relevance to the video content given by the description associated with the video posted …