Sagar Samtani
Computer Science · Indiana University
Publications
110
Citations
2,356
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2015
Sagar Samtani works at the intersection of cybersecurity and artificial intelligence. Their research develops machine learning methods to detect online threats such as phishing, malware, and software vulnerabilities, and studies how AI systems can both improve and be exploited in security settings. Recent work also applies these techniques to related problems like bias detection in news and health-related signals in social media data.
Publication activity has grown over the past decade, rising from around 5-7 papers per year in the late 2010s to consistently 12-17 papers per year in recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- A Domain-Adaptive Soft Prompting Framework for Multi-Type Bias Detection in News
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2026
- HackerSignal: A Large-Scale Multi-Source Dataset Linking Hacker Community Discourse to the CVE Vulnerability Lifecycle
arXiv (Cornell University) · 2026
- HackerSignal: A Large-Scale Multi-Source Dataset Linking Hacker Community Discourse to the CVE Vulnerability Lifecycle
arXiv (Cornell University) · 2026
- Corner Case Detection and Generation for Autonomous Driving: An Overview
IEEE Transactions on Intelligent Transportation Systems · 2026
- Automatically Detecting Voice Phishing: A Large Audio Model Approach
Journal of the Association for Information Systems · 2026
- Cybersecurity is the True Frontier for Generative AI Success or Failure
arXiv (Cornell University) · 2026
- Cybersecurity is the True Frontier for Generative AI Success or Failure
arXiv (Cornell University) · 2026
- Examining the Robustness of Machine Learning-Based Phishing Website Detection: Action-Masked Reinforcement Learning for Automated Red Teaming
2025
- Identifying Emotional Distress on Social Media: A Replication Study
Communications of the Association for Information Systems · 2025
- Hard Sample Mining: A New Paradigm of Efficient and Robust Model Training
IEEE Transactions on Neural Networks and Learning Systems · 2025
- A Hierarchical Hard Negative Sampling Strategy for Robust Out-of-Distribution Object Detection
ACM Transactions on Multimedia Computing Communications and Applications · 2025
- What Do Machine Learning Researchers Mean by “Reproducible”?
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
- Depressive Behavior Detection Using Sensor Signal Data: An Attention-based Privacy-Preserving Approach
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2025
- Introduction to the Minitrack on Cybersecurity in the Age of Artificial Intelligence, AI for Cybersecurity, and Cybersecurity for AI
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2025
- VoiceFormer: Fusing Non-Acoustic Motion Sensors for High-Fidelity Voice Synthesis in Mobile Devices
ACM Transactions on Privacy and Security · 2025
- Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences×7
- arXiv (Cornell University)×7
- Journal of Management Information Systems×6
- ACM Transactions on Management Information Systems×5
- MIS Quarterly×5
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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