activity
20162026
most citedAnalyzing the Targets of Hate in Online Social Media

102 citations · 132 across the 20 of their papers we have counts for

collaborators

20 papers

cs.CR2026

Anchors that Don't Lift: Understanding Supply Chain Driven Kernel Lock-In and Governance-Mediated Mitigation Strategies in SOHO Devices

Ritwik Badola, Rajdeep Ghosh, Ashita Gupta +2

Small Office/Home Office (SOHO) devices are widely popular, yet often attacked due to security vulnerabilities in their firmware, affecting thousands of devices. These security vul…

cs.CL2026

Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization

Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1

Large language models pretrained on general-domain corpora often exhibit tokenization inefficiencies when applied to specialized domains. Although continual pretraining for domain…

cs.CV2026

Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes

Xavier Pleimling, Sifat Muhammad Abdullah, Gunjan Balde +4

Advances in Generative AI (GenAI) have led to the development of various protection strategies to prevent the unauthorized use of images. These methods rely on adding imperceptible…

cs.CR2025

"I wasn't sure if this is indeed a security risk": Data-driven Understanding of Security Issue Reporting in GitHub Repositories of Open Source npm Packages

Rajdeep Ghosh, Shiladitya De, Mainack Mondal

The npm (Node Package Manager) ecosystem is the most important package manager for JavaScript development with millions of users. Consequently, a plethora of earlier work investiga…

cs.CL2025★ 3 cited

Evaluation of LLMs in Medical Text Summarization: The Role of Vocabulary Adaptation in High OOV Settings

Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1

Large Language Models (LLMs) recently achieved great success in medical text summarization by simply using in-context learning. However, these recent efforts do not perform fine-gr…

cs.CL2024★ 6 cited

Adaptive BPE Tokenization for Enhanced Vocabulary Adaptation in Finetuning Pretrained Language Models

Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1

In this work, we show a fundamental limitation in vocabulary adaptation approaches that use Byte-Pair Encoding (BPE) tokenization scheme for fine-tuning pretrained language models…

cs.CL2024★ 1 cited

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization

Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1

This work presents a dynamic vocabulary adaptation strategy, MEDVOC, for fine-tuning pre-trained language models (PLMs) like BertSumAbs, BART, and PEGASUS for improved medical text…

cs.CR2024

"I just hated it and I want my money back": Data-driven Understanding of Mobile VPN Service Switching Preferences in The Wild

Rohit Raj, Mridul Newar, Mainack Mondal

Virtual Private Networks (VPNs) are a crucial Privacy-Enhancing Technology (PET) leveraged by millions of users and catered by multiple VPN providers worldwide; thus, understanding…

cs.SI2023

Uncovering Gender Bias within Journalist-Politician Interaction in Indian Twitter

Brisha Jain, Mainack Mondal

Gender bias in political discourse is a significant problem on today's social media. Previous studies found that the gender of politicians indeed influences the content directed to…

cs.HC2023★ 6 cited

A Tale of Two Cultures: Comparing Interpersonal Information Disclosure Norms on Twitter

Mainack Mondal, Anju Punuru, Tyng-Wen Scott Cheng +11

We present an exploration of cultural norms surrounding online disclosure of information about one's interpersonal relationships (such as information about family members, colleagu…

cs.CY2023

A Comparative Audit of Privacy Policies from Healthcare Organizations in USA, UK and India

Gunjan Balde, Aryendra Singh, Niloy Ganguly +1

Data privacy in healthcare is of paramount importance (and thus regulated using laws like HIPAA) due to the highly sensitive nature of patient data. To that end, healthcare organiz…

cs.CR2023

MASCARA: Systematically Generating Memorable And Secure Passphrases

Avirup Mukherjee, Kousshik Murali, Shivam Kumar Jha +3

Passwords are the most common mechanism for authenticating users online. However, studies have shown that users find it difficult to create and manage secure passwords. To that end…

cs.CL2022★ 1 cited

"Dummy Grandpa, do you know anything?": Identifying and Characterizing Ad hominem Fallacy Usage in the Wild

Utkarsh Patel, Animesh Mukherjee, Mainack Mondal

Today, participating in discussions on online forums is extremely commonplace and these discussions have started rendering a strong influence on the overall opinion of online users…

cs.SI2021★ 1 cited

Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users

Soham Poddar, Mainack Mondal, Janardan Misra +2

Administering COVID-19 vaccines at a societal scale has been deemed as the most appropriate way to defend against the COVID-19 pandemic. This global vaccination drive naturally fue…

cs.CR2021

Understanding and Improving Usability of Data Dashboards for Simplified Privacy Control of Voice Assistant Data (Extended Version)

Vandit Sharma, Mainack Mondal

Today, intelligent voice assistant (VA) software like Amazon's Alexa, Google's Voice Assistant (GVA) and Apple's Siri have millions of users. These VAs often collect and analyze hu…

cs.CR2020★ 2 cited

Empirical Understanding of Deletion Privacy: Experiences, Expectations, and Measures

Mohsen Minaei, Mainack Mondal, Aniket Kate

Social platforms are heavily used by individuals to share their thoughts and personal information. However, due to regret over time about posting inappropriate social content, emba…

cs.CY2020★ 7 cited

A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media

Soham Poddar, Mainack Mondal, Saptarshi Ghosh

The super-cyclonic storm "Amphan" hit Eastern India, specifically the state of West Bengal, Odisha and parts of Bangladesh in May 2020, and caused severe damage to the regions. In…

cs.SI2020★ 1 cited

Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms

Mohsen Minaei, S Chandra Mouli, Mainack Mondal +2

Over-sharing poorly-worded thoughts and personal information is prevalent on online social platforms. In many of these cases, users regret posting such content. To retrospectively…

cs.CR2017★ 2 cited

Forgetting the Forgotten with Letheia, Concealing Content Deletion from Persistent Observers

Mohsen Minaei, Mainack Mondal, Patrick Loiseau +2

Most social platforms offer mechanisms allowing users to delete their posts, and a significant fraction of users exercise this right to be forgotten. However, ironically, users' at…

cs.SI2016★ 102 cited

Analyzing the Targets of Hate in Online Social Media

Leandro Silva, Mainack Mondal, Denzil Correa +2

Social media systems allow Internet users a congenial platform to freely express their thoughts and opinions. Although this property represents incredible and unique communication…