Pallika Kanani

According to our database, Pallika Kanani authored at least 6 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Subject Granular Differential Privacy in Federated Learning.

Virendra J. Marathe, Pallika Kanani

CoRR, 2022

Subject Membership Inference Attacks in Federated Learning.

Anshuman Suri, Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson

CoRR, 2022

2021

Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions.

Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson, Rave Harpaz, Steve Bright

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2019

Report on the First HIPstIR Workshop on the Future of Information Retrieval.

Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni

SIGIR Forum, 2019

Private Federated Learning with Domain Adaptation.

Daniel W. Peterson, Pallika Kanani, Virendra J. Marathe

CoRR, 2019

2016

Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching.

Michael L. Wick, Pallika Kanani, Adam Craig Pocock

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016