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Congyu Fang
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 5
Top Topics
Cost Efficient
Collaborative Learning
Content Analysis
Privacy Sensitive
Top Venues
CoRR
EuroS&P
NeurIPS
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Publications
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Congyu Fang
,
Adam Dziedzic
,
Lin Zhang
,
Laura Oliva
,
Amol A. Verma
,
Fahad Razak
,
Nicolas Papernot
,
Bo Wang
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data.
CoRR
(2024)
Olive Franzese
,
Adam Dziedzic
,
Christopher A. Choquette-Choo
,
Mark R. Thomas
,
Muhammad Ahmad Kaleem
,
Stephan Rabanser
,
Congyu Fang
,
Somesh Jha
,
Nicolas Papernot
,
Xiao Wang
Robust and Actively Secure Serverless Collaborative Learning.
CoRR
(2023)
Nicholas Franzese
,
Adam Dziedzic
,
Christopher A. Choquette-Choo
,
Mark R. Thomas
,
Muhammad Ahmad Kaleem
,
Stephan Rabanser
,
Congyu Fang
,
Somesh Jha
,
Nicolas Papernot
,
Xiao Wang
Robust and Actively Secure Serverless Collaborative Learning.
NeurIPS
(2023)
Congyu Fang
,
Hengrui Jia
,
Anvith Thudi
,
Mohammad Yaghini
,
Christopher A. Choquette-Choo
,
Natalie Dullerud
,
Varun Chandrasekaran
,
Nicolas Papernot
Proof-of-Learning is Currently More Broken Than You Think.
EuroS&P
(2023)
Congyu Fang
,
Hengrui Jia
,
Anvith Thudi
,
Mohammad Yaghini
,
Christopher A. Choquette-Choo
,
Natalie Dullerud
,
Varun Chandrasekaran
,
Nicolas Papernot
On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning.
CoRR
(2022)