Giulia Fanti

Giulia Fanti

Department of Electrical and Computer Engineering, CMU

I am the Angel Jordan Associate Professor of Electrical and Computer Engineering at Carnegie Mellon University. I have courtesy appointments in the Computer Science Department and the Machine Learning Department and am a part of CyLab. My group’s research focus is on the security and privacy implications of data transparency and sharing. As part of this focus, my research interests span the algorithmic and theoretical foundations of distributed systems, machine learning, and privacy-enhancing technologies. I am also a co-director of the Upanzi Network alongside Assane Gueye, and a co-director of the Initiative for Cryptocurrencies and Contracts.

News

  • 8/15/25: Congratulations to Karen Sowon, Collins Munyendo, Lily Klucinec, Eunice Maingi, Gerald Suleh, Lorrie Faith Cranor, Conrad Tucker, and Assane Gueye for winning the IAPP Privacy SOUPS Award at SOUPS 2025 for our work on designing new protocols for privacy-preserving KYC in mobile money transactions
  • 6/9/25: Congratulations to Weizhao Tang, Rachid El Azouzi, Cheng Han Lee, and Ethan Chan for being finalists for the Best Paper Award at SIGMETRICS 2025 for our work on analyzing game theoretic strategies for liquidity allocation in automated market makers!
  • 4/27/25: Our paper on RL finetuning of LLMs with private, federated data received an honorable mention for the best paper award @ ICLR 2025 Synthetic Data Workshop).Congratulations to Charlie Hou, Mei-Yu Wang (PSC), Yige Zhu, and Daniel Lazar (ColdRays)! Full paper to appear at ICML 2025.
  • 2/20/25: Congratulations to Sangyun Lee for receiving the Bob Lee Gregory Fellowship in Electrical & Computer Engineering! Sangyun’s work studies how to make generative models faster, more efficient, and more performant
  • 11/18/24: Congratulations to Geetika Gopi, Aadyaa Maddi, and Omkhar Arasaratnam for winning the Most Notable Paper: Social Impact Category at the CSAW Applied Research Competition 2024 for our work on evaluating the privacy requirements in the digital public goods standard!
  • 6/6/24: Congratulations to Charlie Hou and collaborators (Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, and Daniel Lazar) for being recognized for our work on finetuning LLMs on private federated data with synthetic data (Oral presentation at ICML 2024, honorable mention for best paper award @ ICLR 2024 PML Workshop)
  • 3/28/24: I am honored to join the UN’s Digital Public Infrastructure Safeguards Working Group, working on guidelines for the responsible deployment of DPI
  • 2/1/24: Thank you to the NSF for a CAREER Award on privacy and utility metrics for enterprise data sharing

Short Bio

Giulia Fanti is the Angel Jordan Associate Professor of Electrical and Computer Engineering at Carnegie Mellon University. Her research interests span the security, privacy, and efficiency of distributed systems. She has served on the Department of Commerce Information Security and Privacy Advisory Board and as a two-time fellow of the World Economic Forum’s Global Future Council on Cybersecurity. She is a co-director of CyLab-Africa and the Initiative for Cryptocurrencies and Contracts. Her work has been recognized with several awards, including best paper awards, a Sloan Fellowship, an Intel Rising Star Faculty Award, and an ACM SIGMETRICS Rising Star Award. She obtained her Ph.D. in EECS from U.C. Berkeley and her B.S. in ECE from Olin College of Engineering.