Preetam K Dutta, PhD

Biography

Preetam Dutta is the Co-Founder and CEO of an early-stage AI company focused on building secure machine learning systems for production environments. His work spans machine learning, security, and large-scale deployment.

He received his PhD in Computer Science from Columbia University, where his research focused on machine learning security and adversarial robustness. His work has appeared in top venues including NeurIPS and ICML.

Prior to his doctoral studies, he earned a BS in Computer Science from Yale. He has led production ML efforts across industry and now works at the intersection of research, startups, and real-world AI deployment.

Media

• Featured in TechCrunch and VentureBeat
• Podcast guest on AI security, deployment, and startup scaling
• Keynote speaker on secure and responsible AI

Writing

• Secure AI in Production
  Bridging research and real-world deployment of ML systems at scale.
• The Future of Adversarial Machine Learning
  Why robustness, incentives, and systems thinking matter more than benchmarks.

Research

Privacy and synthetic datasets
Sharing is a virtue, instilled in us from childhood Unfortunately, when it comes to big data-i e., databases possessing the potential to usher in a whole new world of scientific progress-the legal landscape is either too greedy or too Laissez-Faire.

Methods, systems, and media for testing insider threat detection systems
Methods, systems, and media simulate malicious insider bots using real user behavior models to test and evaluate threat detection system efficacy.

Simulated user bots: Real time testing of insider threat detection systems
SUB framework deploys simulated insider threat bots mimicking real behaviors to test insider threat detection systems in live enterprise environments without disrupting operations.

300+ citations · More research papers.