Piranha: A {GPU} platform for secure computation
Secure multi-party computation (MPC) is an essential tool for privacy-preserving machine
learning (ML). However, secure training of large-scale ML models currently requires a …
learning (ML). However, secure training of large-scale ML models currently requires a …
[PDF][PDF] Piranha: A GPU Platform for Secure Computation
JL Watson, S Wagh, RA Popa - usenix.org
Piranha is an open-source platform (https://github. com/ucbrise/piranha) for accelerating
multi-party computation protocols using the GPU. Our artifact for Piranha consists of the …
multi-party computation protocols using the GPU. Our artifact for Piranha consists of the …
[PDF][PDF] Piranha: A GPU Platform for Secure Computation
JL Watson, S Wagh, RA Popa - jeanluc.io
Secure multi-party computation (MPC) is an essential tool for privacy-preserving machine
learning (ML). However, secure training of large-scale ML models currently requires a …
learning (ML). However, secure training of large-scale ML models currently requires a …
Piranha: A GPU Platform for Secure Computation
JL Watson, S Wagh, RA Popa - 2022 - escholarship.org
Secure multi-party computation (MPC) is an essential tool for privacy-preserving machine
learning (ML). However, secure training of large-scale ML models currently requires a …
learning (ML). However, secure training of large-scale ML models currently requires a …
Piranha: A GPU Platform for Secure Computation
JL Watson, S Wagh, RA Popa - Cryptology ePrint Archive, 2022 - eprint.iacr.org
Secure multi-party computation (MPC) is an essential tool for privacy-preserving machine
learning (ML). However, secure training of large-scale ML models currently requires a …
learning (ML). However, secure training of large-scale ML models currently requires a …