Anupam Datta

Anupam Datta is an Adjunct Professor at Carnegie Mellon University's Electrical and Computer Engineering Department within the College of Engineering. His research focuses on creating accountable systems for privacy, fairness, and security, with notable contributions to audit mechanisms and bias detection in AI. He holds a PhD and MS from Stanford University and a BTech from IIT Kharagpur.

Education:

• PhD in Computer Science (Stanford University, 2005)
• MS in Computer Science (Stanford University, 2002)
• BTech in Computer Science & Engineering (IIT Kharagpur, 2000)

Research emphasizes scientific foundations of security/privacy, including formalizing policies, developing audit tools, and analyzing machine learning fairness. Notable projects include NSF-funded work on accountable decision systems and the AdFisher tool that revealed gender bias in Google ads.

He serves as Editor-in-Chief of Foundations and Trends in Privacy and Security, leads the NSF project on trustworthy AI systems, and contributes to conferences like FAT* (Fairness, Accountability, and Transparency). His work bridges technical security, ethical AI, and policy enforcement.

Grants include a $3M NSF grant for accountable decision systems (2017) and a $7.5M Office of Naval Research grant (2018). Collaborations involve Cornell Tech, International Computer Science Institute, and industry partners.

Labs/teams: Part of CyLab Security and Privacy Institute at CMU, leading initiatives on AI transparency and cyber-physical systems security.