collaborators

6 papers

cs.AI2026

Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks

Trilok Padhi, Pinxian Lu, Abdulkadir Erol +5

Large Language Model (LLM) agents are powering a growing share of interactive web applications, yet remain vulnerable to misuse and harm. Prior jailbreak research has largely focus…

cs.LG2026

Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes

Rahul Garg, Trilok Padhi, Hemang Jain +2

Toxicity identification in online multimodal environments remains a challenging task due to the complexity of contextual connections across modalities (e.g., textual and visual). I…

cs.HC2025

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data

Ugur Kursuncu, Trilok Padhi, Gaurav Sinha +3

The growing demand for accessible mental health support, compounded by workforce shortages and logistical barriers, has led to increased interest in utilizing Large Language Models…

cs.CL2025

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI

Agnik Saha, Victoria Churchill, Anny D. Rodriguez +2

Effective communication about breast and cervical cancers remains a persistent health challenge, with significant gaps in public understanding of cancer prevention, screening, and…

cs.SI2025

Telegram as a Battlefield: Kremlin-related Communications during the Russia-Ukraine Conflict

Apaar Bawa, Ugur Kursuncu, Dilshod Achilov +3

Telegram emerged as a crucial platform for both parties during the conflict between Russia and Ukraine. Per its minimal policies for content moderation, Pro-Kremlin narratives and…

cs.CR2025

Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models

Abdulkadir Erol, Trilok Padhi, Agnik Saha +2

The rapid advancement of Large Vision-Language Models (LVLMs) has enhanced capabilities offering potential applications from content creation to productivity enhancement. Despite t…