PhD
What makes unlearning hard and what to do about it [arXiv]
Kairan Zhao, Meghdad Kurmanji, George-Octavian Bărbulescu, Eleni Triantafillou, Peter Triantafillou
NeurIPS 2024 (Oral presentation at NeurIP@Paris 2024)Scalability of memorization-based machine unlearning [arXiv]
Kairan Zhao, Peter Triantafillou
NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability (FITML)Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition [arXiv]
Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa, Jamie Hayes, Meghdad Kurmanji, Kairan Zhao, Vincent Dumoulin, Julio Jacques Junior, Ioannis Mitliagkas, Jun Wan, Lisheng Sun Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon
- NeurIPS 2023 Machine Unlearning Competition [NeurIPS] [Project page] [Kaggle]
Eleni Triantafillou, Fabian Pedregosa, Jamie Hayes, Peter Kairouz, Isabelle Guyon, Meghdad Kurmanji, Gintare Karolina Dziugaite, Peter Triantafillou, Kairan Zhao, Lisheng Sun Hosoya, Julio C. S. Jacques Junior, Vincent Dumoulin, Ioannis Mitliagkas, Sergio Escalera, Jun Wan, Sohier Dane, Maggie Demkin, Walter Reade NeurIPS 2023
Pre-PhD
- A Secure Intra-Regional-Inter-Regional Peer-to-Peer Electricity Trading System for Electric Vehicles [paper]
Kairan Zhao, Meng Zhang, Rongxing Lu, Chao Shen
IEEE Transactions on Vehicular Technology, 2022