4 citations · 12 across the 14 of their papers we have counts for
16 papers
InterBias-SV: Compound Conditions in Speaker Verification
Kamel Kamel, Hridoy Sankar Dutta, Keshav Sood +1
Speaker verification systems encounter combinations of noise, channel distortion, and changes in speech. Evaluating each condition separately does not establish whether their effec…
Modeling Wavelet Transformed Quantum Support Vector for Network Intrusion Detection
Swati Kumari, Shiva Raj Pokhrel, Swathi Chandrasekhar +5
Network traffic anomaly detection is a critical cybersecurity challenge requiring robust solutions for complex Internet of Things (IoT) environments. We present a novel hybrid quan…
A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems
Kamel Kamel, Keshav Sood, Hridoy Sankar Dutta +1
Voice authentication has undergone significant changes from traditional systems that relied on handcrafted acoustic features to deep learning models that can extract robust speaker…
YTCommentVerse: A Multi-Category Multi-Lingual YouTube Comment Corpus
Hridoy Sankar Dutta, Biswadeep Khan
In this paper, we introduce YTCommentVerse, a large-scale multilingual and multi-category dataset of YouTube comments. It contains over 32 million comments from 178,000 videos cont…
Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
Kamel Kamel, Hridoy Sankar Dutta, Keshav Sood +1
Voice Authentication Systems (VAS) use unique vocal characteristics for verification. They are increasingly integrated into high-security sectors such as banking and healthcare. De…
OpenCoderRank: Personalized Technical Assessments with Generative AI
Hridoy Sankar Dutta, Sana Ansari, Swati Kumari +1
Organizations and educational institutions use time-bound assessment tasks to evaluate coding and problem-solving skills. These assessments measure not only the correctness of the…
Half-life of Youtube News Videos: Diffusion Dynamics and Predictive Factors
Anahit Sargsyan, Hridoy Sankar Dutta, Juergen Pfeffer
Consumption of YouTube news videos significantly shapes public opinion and political narratives. While prior works have studied the longitudinal dissemination dynamics of YouTube N…
YT-30M: A multi-lingual multi-category dataset of YouTube comments
Hridoy Sankar Dutta
This paper introduces two large-scale multilingual comment datasets, YT-30M (and YT-100K) from YouTube. The analysis in this paper is performed on a smaller sample (YT-100K) of YT-…
ModZoo: A Large-Scale Study of Modded Android Apps and their Markets
Luis A. Saavedra, Hridoy S. Dutta, Alastair R. Beresford +1
We present the results of the first large-scale study into Android markets that offer modified or modded apps: apps whose features and functionality have been altered by a third-pa…
Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network
Hridoy Sankar Dutta, Nirav Diwan, Tanmoy Chakraborty
Social reputation (e.g., likes, comments, shares, etc.) on YouTube is the primary tenet to popularize channels/videos. However, the organic way to improve social reputation is tedi…
DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter
Hridoy Sankar Dutta, Kartik Aggarwal, Tanmoy Chakraborty
The popularity of Twitter has fostered the emergence of various fraudulent user activities - one such activity is to artificially bolster the social reputation of Twitter profiles…
ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities
Hridoy Sankar Dutta, Udit Arora, Tanmoy Chakraborty
The rise of online media has incentivized users to adopt various unethical and artificial ways of gaining social growth to boost their credibility within a short time period. In th…
Blackmarket-driven Collusion on Online Media: A Survey
Hridoy Sankar Dutta, Tanmoy Chakraborty
Online media platforms have enabled users to connect with individuals, organizations, and share their thoughts. Other than connectivity, these platforms also serve multiple purpose…
Detecting and analyzing collusive entities on YouTube
Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi +1
In this work, we provide an in-depth analysis of collusive entities on YouTube fostered by various blackmarket services. Following this, we propose models to detect three types of…
On Good and Bad Intentions behind Anomalous Citation Patterns among Journals in Computer Sciences
Joyita Chakraborty, Dinesh Pradhan, Hridoy Sankar Dutta +2
Scientific journals are an important choice of publication venue for most authors. Publishing in prestigious journal plays a decisive role for authors in hiring and promotions. In…
Retweet Us, We Will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services
Hridoy Sankar Dutta, Aditya Chetan, Brihi Joshi +1
Twitter has increasingly become a popular platform to share news and user opinion. A tweet is considered to be important if it receives high number of affirmative reactions from ot…