Nishant Vishwamitra

According to our database, Nishant Vishwamitra authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Moderating Illicit Online Image Promotion for Unsafe User-Generated Content Games Using Large Vision-Language Models.

Keyan Guo, Ayush Utkarsh, Wenbo Ding, Isabelle Ondracek, Ziming Zhao, Guo Freeman, Nishant Vishwamitra, Hongxin Hu

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

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

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually.

Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

COVID-19 and Sinophobia: Detecting Warning Signs of Radicalization on Twitter and Reddit.

Matthew Costello, Nishant Vishwamitra, Song Liao, Long Cheng, Feng Luo, Hongxin Hu

Cyberpsychology Behav. Soc. Netw., July, 2023

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, Ziming Zhao, Hongxin Hu

CoRR, 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

Proceedings of the 32nd USENIX Security Symposium, 2023

Analysis of COVID-19 Offensive Tweets and Their Targets.

Song Liao, Ebuka Okpala, Long Cheng, Mingqi Li, Nishant Vishwamitra, Hongxin Hu, Feng Luo, Matthew Costello

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Investigation of Large Language Models for Real-World Hate Speech Detection.

Keyan Guo, Alexander Hu, Jaden Mu, Ziheng Shi, Ziming Zhao, Nishant Vishwamitra, Hongxin Hu

Proceedings of the International Conference on Machine Learning and Applications, 2023

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, Ziming Zhao, Hongxin Hu

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Towards Automated Content-based Photo Privacy Control in User-Centered Social Networks.

Nishant Vishwamitra, Yifang Li, Hongxin Hu, Kelly Caine, Long Cheng, Ziming Zhao, Gail-Joon Ahn

Proceedings of the CODASPY '22: Twelveth ACM Conference on Data and Application Security and Privacy, Baltimore, MD, USA, April 24, 2022

2021

Understanding and Measuring Robustness of Multimodal Learning.

Nishant Vishwamitra, Hongxin Hu, Ziming Zhao, Long Cheng, Feng Luo

CoRR, 2021

Towards Understanding and Detecting Cyberbullying in Real-world Images.

Nishant Vishwamitra, Hongxin Hu, Feng Luo, Long Cheng

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2020

On Analyzing COVID-19-related Hate Speech Using BERT Attention.

Nishant Vishwamitra, Ruijia (Roger) Hu, Feng Luo, Long Cheng, Matthew Costello, Yin Yang

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 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, Matthew Costello

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

Towards Automatic Detection and Explanation of Hate Speech and Offensive Language.

Wyatt Dorris, Ruijia (Roger) Hu, Nishant Vishwamitra, Feng Luo, Matthew Costello

Proceedings of the IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, 2020

Towards A Taxonomy of Content Sensitivity and Sharing Preferences for Photos.

Yifang Li, Nishant Vishwamitra, Hongxin Hu, Kelly Caine

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2018

CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior.

Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

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 Simple Deep Convolutional Neural Network with Ensemble Behavior.

Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo

CoRR, 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

Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies, 2017

Blur vs. Block: Investigating the Effectiveness of Privacy-Enhancing Obfuscation for Images.

Yifang Li, Nishant Vishwamitra, Bart P. Knijnenburg, Hongxin Hu, Kelly Caine

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks.

Nishant Vishwamitra, Xiang Zhang, Jonathan Tong, Hongxin Hu, Feng Luo, Robin M. Kowalski, Joseph P. Mazer

Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics, 2017

2016

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, Jamie Macbeth, Edward Dillon

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016