TPMPC 2023 Accepted Talks

On Linear Communication Complexity for (Maximally) Fluid MPC - Alexander Bienstock (New York University), Daniel Escudero (J.P. Morgan AI Research), Antigoni Polychroniadou (J.P. Morgan AI Research)

Secure Two-Party Quantum Computation Over Classical Channels - Michele Ciampi (University of Edinburgh), Alexandru Cojocaru (University of Maryland), Elham Kashefi (University of Edinburgh, Sorbonne Universite), Atul Mantri (University of Maryland)

Verifiable Distributed Aggregation Functions - Hannah Davis (UC San Diego), Christopher Patton (Cloudflare), Mike Rosulek (Oregon State University), Phillipp Schoppmann (Google)

Broadcast-Optimal Four-Round MPC in the Plain Model - Michele Ciampi (University of Edinburgh), Ivan Damgård (Aarhus University), Divya Ravi (Aarhus University), Luisa Siniscalchi (Technical University of Denmark), Yu Xia (University of Edinburgh), Sophia Yakoubov (Aarhus University)

Asymptotically Free Broadcast in Constant Expected Time via Packed VSS - Ittai Abraham (VMWare Research), Gilad Asharov (Bar-Ilan University), Shravani Patil (Indian Institute of Science, Bangalore), Arpita Patra (Indian Institute of Science, Bangalore)

Threshold BBS+ Signatures for Distributed Anonymous Credential Issuance - Jack Doerner (Technion, Reichman University), Eysa Lee (Northeastern University), Yashvanth Kondi (Aarhus University), abhi shelat (Northeastern University), LaKyah Tyner (Northeastern University)

NIST First Call for Multi-Party Threshold Schemes - Luís Brandão (NIST/Strativia), René Peralta (NIST)

FUSE - Flexible File Format and Intermediate Representation for Secure Multi-Party Computation - Lennart Braun (Aarhus University), Moritz Huppert (TU Darmstadt), Nora Khayata (TU Darmstadt), Thomas Schneider (TU Darmstadt) Oleksandr Tkachenko (DFINITY)

MPC with Delayed Parties in a Star-Like Network - Mariana Gama (KU Leuven), Emad Heydari Beni (KU Leuven, Nokia Bell Labs), Emmanuela Orsini (Bocconi University), Nigel P. Smart (KU Leuven, Zama), Oliver Zajonc (KU Leuven)

Distributed, Private, Sparse Histograms in the Two-Server Model - James Bell, Adrià Gascón, Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Mariana Raykova, Phillipp Schoppmann (Google)

Find thy neighbourhood: Privacy-preserving local clustering - Pranav Shriram A (JP Morgan Chase), Nishat Koti (Indian Institute of Science Bangalore), Varsha Bhat Kukkala (Indian Institute of Science Bangalore), Arpita Patra (Indian Institute of Science Bangalore), Bhavish Raj Gopal (Indian Institute of Science Bangalore)

Orca: FSS-based Secure Training with GPUs - Neha Jawalkar (Indian Institute of Science), Kanav Gupta (Microsoft Research India), Arkaprava Basu (Indian Institute of Science), Nishanth Chandran (Microsoft Research India), Divya Gupta (Microsoft Research India), Rahul Sharma (Microsoft Research India)