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Oral
Tue 14:25 User-Level Differential Privacy With Few Examples Per User
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Raghu Meka · Chiyuan Zhang
Workshop
Exploring User-level Gradient Inversion with a Diffusion Prior
Zhuohang Li · Andrew Lowy · Jing Liu · Toshiaki Koike-Akino · Bradley Malin · Kieran Parsons · Ye Wang
Poster
Tue 15:15 User-Level Differential Privacy With Few Examples Per User
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Raghu Meka · Chiyuan Zhang
Poster
Thu 15:00 Counting Distinct Elements Under Person-Level Differential Privacy
Thomas Steinke · Alexander Knop
Workshop
User Inference Attacks on Large Language Models
Nikhil Kandpal · Krishna Pillutla · Alina Oprea · Peter Kairouz · Christopher A. Choquette-Choo · Zheng Xu
Workshop
Algorithmically Mediated User Relations: Exploring Data's Relationality in Recommender Systems
Athina Kyriakou · Oana Inel · Asia Biega · Abraham Bernstein
Workshop
One Node Per User: Node-Level Federated Learning for Graph Neural Networks
zhidong gao · Yuanxiong Guo · Yanmin Gong