Cyberbullying Detection with a Pronunciation Based Convolutional Neural Network. - Xiang Zhang; Jonathan Tong; Nishant Vishwamitra; Elizabeth Whittaker; Joseph P. Mazer; Robin M. Kowalski; Hongxin Hu; Feng Luo 001; Jamie Macbeth; Edward Dillon 002 (ICMLA, 2016)

MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks. - Nishant Vishwamitra; Xiang Zhang; Jonathan Tong; Hongxin Hu; Feng Luo 001; Robin M. Kowalski; Joseph P. Mazer (IWSPA@CODASPY, 2017)

Blur vs. Block: Investigating the Effectiveness of Privacy-Enhancing Obfuscation for Images. - Yifang Li; Nishant Vishwamitra; Bart P. Knijnenburg; Hongxin Hu; Kelly Caine (CVPR Workshops, 2017)

Towards PII-based Multiparty Access Control for Photo Sharing in Online Social Networks. - Nishant Vishwamitra; Yifang Li; Kevin Wang; Hongxin Hu; Kelly Caine; Gail-Joon Ahn (SACMAT, 2017)

CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior. - Xiang Zhang; Nishant Vishwamitra; Hongxin Hu; Feng Luo 001 (CoRR, 2017)

Effectiveness and Users' Experience of Obfuscation as a Privacy-Enhancing Technology for Sharing Photos. - Yifang Li; Nishant Vishwamitra; Bart P. Knijnenburg; Hongxin Hu; Kelly Caine (Proc. ACM Hum. Comput. Interact., 2017)

CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior. - Xiang Zhang; Nishant Vishwamitra; Hongxin Hu; Feng Luo 001 (ICMLA, 2018)

Towards A Taxonomy of Content Sensitivity and Sharing Preferences for Photos. - Yifang Li; Nishant Vishwamitra; Hongxin Hu; Kelly Caine (CHI, 2020)

Towards Automatic Detection and Explanation of Hate Speech and Offensive Language. - Wyatt Dorris; Ruijia (Roger) Hu; Nishant Vishwamitra; Feng Luo 001; Matthew Costello (IWSPA@CODASPY, 2020)

On the Impact of Word Representation in Hate Speech and Offensive Language Detection and Explanation. - Ruijia (Roger) Hu; Wyatt Dorris; Nishant Vishwamitra; Feng Luo 001; Matthew Costello (CODASPY, 2020)

On Analyzing COVID-19-related Hate Speech Using BERT Attention. - Nishant Vishwamitra; Ruijia (Roger) Hu; Feng Luo 001; Long Cheng 005; Matthew Costello; Yin Yang 002 (ICMLA, 2020)

Towards Understanding and Detecting Cyberbullying in Real-world Images. - Nishant Vishwamitra; Hongxin Hu; Feng Luo 001; Long Cheng 005 (NDSS, 2021)

Understanding and Measuring Robustness of Multimodal Learning. - Nishant Vishwamitra; Hongxin Hu; Ziming Zhao 001; Long Cheng 005; Feng Luo 001 (CoRR, 2021)

Towards Automated Content-based Photo Privacy Control in User-Centered Social Networks. - Nishant Vishwamitra; Yifang Li; Hongxin Hu; Kelly Caine; Long Cheng 005; Ziming Zhao 001; Gail-Joon Ahn (CODASPY, 2022)

Understanding and Analyzing COVID-19-related Online Hate Propagation Through Hateful Memes Shared on Twitter. - Nishant Vishwamitra; Keyan Guo; Song Liao; Jaden Mu; Zheyuan Ma; Long Cheng 005; Ziming Zhao 001; Hongxin Hu (ASONAM, 2023)

An Investigation of Large Language Models for Real-World Hate Speech Detection. - Keyan Guo; Alexander Hu; Jaden Mu; Ziheng Shi; Ziming Zhao 001; Nishant Vishwamitra; Hongxin Hu (ICMLA, 2023)

Analysis of COVID-19 Offensive Tweets and Their Targets. - Song Liao; Ebuka Okpala; Long Cheng 005; Mingqi Li; Nishant Vishwamitra; Hongxin Hu; Feng Luo 001; Matthew Costello (KDD, 2023)

Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability. - Mazal Bethany; Andrew Seong; Samuel Henrique Silva; Nicole Beebe; Nishant Vishwamitra; Peyman Najafirad (USENIX Security Symposium, 2023)

COVID-19 and Sinophobia: Detecting Warning Signs of Radicalization on Twitter and Reddit. - Matthew Costello; Nishant Vishwamitra; Song Liao; Long Cheng 005; Feng Luo 001; Hongxin Hu (Cyberpsychology Behav. Soc. Netw., 2023)

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. - Mazal Bethany; Brandon Wherry; Nishant Vishwamitra; Peyman Najafirad (AAAI, 2024)

Leveraging Secure Social Media Crowdsourcing for Gathering Firsthand Account in Conflict Zones. - Abanisenioluwa Orojo; Pranish Bhagat; John Wilburn; Michael J. Donahoo; Nishant Vishwamitra (ASONAM (2), 2024)

Automating Information Categorization using LLMs in Crisis Mapping Platforms: An Examination of "Requests for Help" during the 2010 Haiti Earthquake. - Hrishitva Patel; Rohit Valecha; Nishant Vishwamitra; H. Raghav Rao (ICIS, 2024)

Detecting Cyberbullying in Visual Content: A Large Vision-Language Model Approach. - Jaden Mu; David Cong; Helen Qin; Ishan Ajay; Keyan Guo; Nishant Vishwamitra; Hongxin Hu (ICMLA, 2024)

Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models. - Nishant Vishwamitra; Keyan Guo; Farhan Tajwar Romit; Isabelle Ondracek; Long Cheng 005; Ziming Zhao 001; Hongxin Hu (SP, 2024)

Towards Understanding and Detecting File Types in Encrypted Files for Law Enforcement Applications. - Adam L. Hooker; Wenjian Huang; Shalini Kapali Kurumathur; Nishant Vishwamitra; Kim-Kwang Raymond Choo (TrustCom, 2024)

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. - Mazal Bethany; Brandon Wherry; Emet Bethany; Nishant Vishwamitra; Anthony Rios; Peyman Najafirad (USENIX Security Symposium, 2024)

Moderating Illicit Online Image Promotion for Unsafe User Generated Content Games Using Large Vision-Language Models. - Keyan Guo; Ayush Utkarsh; Wenbo Ding 003; Isabelle Ondracek; Ziming Zhao 001; Guo Freeman; Nishant Vishwamitra; Hongxin Hu (USENIX Security Symposium, 2024)

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. - Mazal Bethany; Brandon Wherry; Emet Bethany; Nishant Vishwamitra; Peyman Najafirad (CoRR, 2024)

Large Language Model Lateral Spear Phishing: A Comparative Study in Large-Scale Organizational Settings. - Mazal Bethany; Athanasios Galiopoulos; Emet Bethany; Mohammad Bahrami Karkevandi; Nishant Vishwamitra; Peyman Najafirad (CoRR, 2024)

AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab. - Ebuka Okpala; Nishant Vishwamitra; Keyan Guo; Song Liao; Long Cheng 005; Hongxin Hu; Yongkai Wu; Xiaohong Yuan; Jeannette Wade; Sajad Khorsandroo (CoRR, 2024)

Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems. - Daniel Schumacher; Fatemeh Haji; Tara Grey; Niharika Bandlamudi; Nupoor Karnik; Gagana Uday Kumar; Jason Cho-Yu Chiang; Paul Rad; Nishant Vishwamitra; Anthony Rios (CoRR, 2024)

Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models? - Mohammad Bahrami Karkevandi; Nishant Vishwamitra; Peyman Najafirad (CoRR, 2024)

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs. - Mazal Bethany; Emet Bethany; Brandon Wherry; Jason Cho-Yu Chiang; Nishant Vishwamitra; Anthony Rios; Peyman Najafirad (CoRR, 2024)

Do Crowds Validate False Data? Systematic Distortion and Affective Polarization. - Daniel A. Pienta; Sriram Somanchi; Nishant Vishwamitra; Nicholas Berente; Jason Bennett Thatcher (MIS Q., 2024)

Lateral Phishing With Large Language Models: A Large Organization Comparative Study. - Mazal Bethany; Athanasios Galiopoulos; Emet Bethany; Mohammad Bahrami Karkevandi; Nicole Beebe; Nishant Vishwamitra; Peyman Najafirad (IEEE Access, 2025)

CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation. - Mazal Bethany; Nishant Vishwamitra; Cho-Yu Jason Chiang; Peyman Najafirad (CoRR, 2025)