Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference


Sep 27, 2022
Yongqin Wang, Rachit Rajat, Murali Annavaram


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware


Jun 30, 2022
Hanieh Hashemi, Yongqin Wang, Murali Annavaram

* MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture. arXiv admin note: text overlap with arXiv:2105.00334 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings


Dec 26, 2021
Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning


Jul 27, 2021
Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks


Jun 04, 2021
Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

* Three co-1st authors have equal contribution (alphabetical order) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Byzantine-Robust and Privacy-Preserving Framework for FedML


May 05, 2021
Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram

* Security and Safety in Machine Learning Systems Workshop in ICLR 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Privacy and Integrity Preserving Training Using Trusted Hardware


May 01, 2021
Hanieh Hashemi, Yongqin Wang, Murali Annavaram

* Distributed and Private Machine Learning ICLR 2021 Workshop 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks


Apr 14, 2021
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr

* The first three authors contribute equally. Our shorter versions are accepted to ICLR 2021 Workshop on Distributed and Private Machine Learning(DPML) and MLSys 2021 GNNSys Workshop on Graph Neural Networks and Systems 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Distributed Training of Graph Convolutional Networks using Subgraph Approximation


Dec 09, 2020
Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Check-N-Run: A Checkpointing System for Training Recommendation Models


Oct 17, 2020
Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Murali Annavaram, Krishnakumar Nair, Misha Smelyanskiy


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>