Nishant Vishwamitra

Nishant Vishwamitra

Assistant Professor Department of Information Systems and Cyber Security

My_papers_output

Costello, Matthew, Long Cheng, Feng Luo, Hongxin Hu, Song Liao, Nishant Vishwamitra, Mingqi Li, and Ebuka Okpala. 2021. “COVID-19: A Pandemic of Anti-Asian Cyberhate.” Journal of Hate Studies 17 (1).

Dorris, Wyatt, Ruijia Hu, Nishant Vishwamitra, Feng Luo, and Matthew Costello. 2020. “Towards Automatic Detection and Explanation of Hate Speech and Offensive Language.” In Proceedings of the Sixth International Workshop on Security and Privacy Analytics, 23–29.

Hu, Ruijia, Wyatt Dorris, Nishant Vishwamitra, Feng Luo, and Matthew Costello. 2020. “On the Impact of Word Representation in Hate Speech and Offensive Language Detection and Explanation.” In Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy, 171–73.

Li, Yifang, Nishant Vishwamitra, Hongxin Hu, and Kelly Caine. 2020. “Towards a Taxonomy of Content Sensitivity and Sharing Preferences for Photos.” In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14.

Li, Yifang, Nishant Vishwamitra, Hongxin Hu, Bart P Knijnenburg, and Kelly Caine. 2017. “Effectiveness and Users’ Experience of Face Blurring as a Privacy Protection for Sharing Photos via Online Social Networks.” In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61:803–7. 1. SAGE Publications Sage CA: Los Angeles, CA.

Vishwamitra, Nishant. 2022. “Understanding and Defending Against Cyberharassment in the Era of Machine Learning.” PhD thesis, State University of New York at Buffalo.

Vishwamitra, Nishant and Knijnenburg, Bart and Hu, Hongxin and Kelly Caine, Yifang P and others. 2017. “Blur Vs. Block: Investigating the Effectiveness of Privacy-Enhancing Obfuscation for Images.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 39–47.

Vishwamitra, Nishant, Hongxin Hu, Feng Luo, and Long Cheng. 2021. “Towards Understanding and Detecting Cyberbullying in Real-World Images.” In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

Vishwamitra, Nishant, Hongxin Hu, Ziming Zhao, Long Cheng, and Feng Luo. 2021. “Understanding and Measuring Robustness of Multimodal Learning.” arXiv Preprint arXiv:2112.12792.

Vishwamitra, Nishant, Ruijia Roger Hu, Feng Luo, Long Cheng, Matthew Costello, and Yin Yang. 2020. “On Analyzing Covid-19-Related Hate Speech Using Bert Attention.” In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 669–76. IEEE.

Vishwamitra, Nishant, Yifang Li, Hongxin Hu, Kelly Caine, Long Cheng, Ziming Zhao, and Gail-Joon Ahn. 2022. “Towards Automated Content-Based Photo Privacy Control in User-Centered Social Networks.” In Proceedings of the Twelveth ACM Conference on Data and Application Security and Privacy, 65–76.

Vishwamitra, Nishant, Yifang Li, Kevin Wang, Hongxin Hu, Kelly Caine, and Gail-Joon Ahn. 2017. “Towards Pii-Based Multiparty Access Control for Photo Sharing in Online Social Networks.” In Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies, 155–66.

Vishwamitra, Nishant, Xiang Zhang, Jonathan Tong, Hongxin Hu, Feng Luo, Robin Kowalski, and Joseph Mazer. 2017. “MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks.” In Proceedings of the 3rd ACM on International Workshop on Security and Privacy Analytics, 37–42.

Zhang, Xiang, Jonathan Tong, Nishant Vishwamitra, Elizabeth Whittaker, Joseph P Mazer, Robin Kowalski, Hongxin Hu, Feng Luo, Jamie Macbeth, and Edward Dillon. 2016. “Cyberbullying Detection with a Pronunciation Based Convolutional Neural Network.” In 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 740–45. IEEE.

Zhang, Xiang, Nishant Vishwamitra, Hongxin Hu, and Feng Luo. 2017. “Crescendonet: A Simple Deep Convolutional Neural Network with Ensemble Behavior.” arXiv Preprint arXiv:1710.11176.

“CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior.” In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 311–17. IEEE.