EzPC (Easy Secure Multi-party Computation)

출판물

자료 보기:

- Communication Efficient Secure and Private Multi-Party Deep Learning
  
  Sankha Das, Sayak Ray Chowdhuri, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2025 | January 2025
  
  Publication
- Secure Sorting and Selection via Function Secret Sharing
  
  Amit Agarwal, Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Mahimna Kelkar, Yiping Ma
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | October 2024
  
  Publication
- Securely Training Decision Trees Efficiently
  
  Divyanshu Bhardwaj, Sandhya Saravanan, Nishanth Chandran, Divya Gupta
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | August 2024
  
  Publication
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication
- Orca: FSS-based Secure Training and Inference with GPUs
  
  Neha Jawalkar, Kanav Gupta, Arkaprava Basu, Nishanth Chandran, Divya Gupta, Rahul Sharma
  
  2024 IEEE Symposium on Security and Privacy | May 2024
  
  Publication
- Secure Floating-Point Training
  
  Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
  
  Usenix Security Symposium 2023 | August 2023
  
  Publication
- End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets
  
  Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen
  
  Privacy Enhancing technologies Symposium (PETS) 2023 | July 2023
  
  Publication
- SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost
  
  Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah
  
  USENIX Security | August 2022
  
  USENIX Security 2022
  
  Publication
- Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
  
  Nishanth Chandran, Divya Gupta, Akash Shah
  
  22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
  
  Publication
- LLAMA: A Low Latency Math Library for Secure Inference
  
  Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
  
  PETS 2022 | June 2022
  
  Publication
- SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation
  
  Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi
  
  43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022
  
  Publication
- Secure Featurization and Applications to Secure Phishing Detection
  
  Akash Shah, Nishanth Chandran, Divya Gupta, Mesfin Dema, Arun Gururajan, Huan Yu
  
  CCSW 2021: The ACM Cloud Computing Security Workshop | October 2021
  
  Publication
- Multi-institution encrypted medical imaging AI validation without data sharing
  
  Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P Lungren
  
  August 2021
  
  Publication
- Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI
  
  Nishanth Chandran, Nishka Dasgupta, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Sruthi Sekar, Akash Shah
  
  28th Annual Conference on Computer and Communications Security (ACM CCS 2021) | May 2021
  
  Publication
- SIRNN: A Math Library for Secure RNN Inference
  
  Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi
  
  42nd IEEE Symposium on Security and Privacy (IEEE S&P 2021) | February 2021
  
  Publication
- Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
  
  Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Nishant Kumar, Mayank Rathee
  
  EUROCRYPT 2021 | January 2021
  
  Publication
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트
- CrypTFlow2: Practical 2-Party Secure Inference
  
  Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  27th Annual Conference on Computer and Communications Security (ACM CCS 2020) | August 2020
  
  Publication
- CrypTFlow: Secure TensorFlow Inference
  
  Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  IEEE Symposium on Security and Privacy | May 2020
  
  Publication 동영상 Github
- EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning
  
  Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi
  
  IEEE European Symposium on Security and Privacy | February 2019
  
  Publication 동영상 Github
- SecureNN: Efficient and Private Neural Network Training
  
  Sameer Wagh, Divya Gupta, Nishanth Chandran
  
  Privacy Enhancing Technologies Symposium | February 2019
  
  Publication

- Communication Efficient Secure and Private Multi-Party Deep Learning
  
  Sankha Das, Sayak Ray Chowdhuri, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2025 | January 2025
  
  Publication
- Secure Sorting and Selection via Function Secret Sharing
  
  Amit Agarwal, Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Mahimna Kelkar, Yiping Ma
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | October 2024
  
  Publication
- Securely Training Decision Trees Efficiently
  
  Divyanshu Bhardwaj, Sandhya Saravanan, Nishanth Chandran, Divya Gupta
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | August 2024
  
  Publication
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication
- Orca: FSS-based Secure Training and Inference with GPUs
  
  Neha Jawalkar, Kanav Gupta, Arkaprava Basu, Nishanth Chandran, Divya Gupta, Rahul Sharma
  
  2024 IEEE Symposium on Security and Privacy | May 2024
  
  Publication
- Secure Floating-Point Training
  
  Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
  
  Usenix Security Symposium 2023 | August 2023
  
  Publication
- End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets
  
  Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen
  
  Privacy Enhancing technologies Symposium (PETS) 2023 | July 2023
  
  Publication
- SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost
  
  Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah
  
  USENIX Security | August 2022
  
  USENIX Security 2022
  
  Publication
- LLAMA: A Low Latency Math Library for Secure Inference
  
  Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
  
  PETS 2022 | June 2022
  
  Publication
- Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
  
  Nishanth Chandran, Divya Gupta, Akash Shah
  
  22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
  
  Publication
- SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation
  
  Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi
  
  43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022
  
  Publication
- Secure Featurization and Applications to Secure Phishing Detection
  
  Akash Shah, Nishanth Chandran, Divya Gupta, Mesfin Dema, Arun Gururajan, Huan Yu
  
  CCSW 2021: The ACM Cloud Computing Security Workshop | October 2021
  
  Publication
- Multi-institution encrypted medical imaging AI validation without data sharing
  
  Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P Lungren
  
  August 2021
  
  Publication
- Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI
  
  Nishanth Chandran, Nishka Dasgupta, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Sruthi Sekar, Akash Shah
  
  28th Annual Conference on Computer and Communications Security (ACM CCS 2021) | May 2021
  
  Publication
- SIRNN: A Math Library for Secure RNN Inference
  
  Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi
  
  42nd IEEE Symposium on Security and Privacy (IEEE S&P 2021) | February 2021
  
  Publication
- Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
  
  Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Nishant Kumar, Mayank Rathee
  
  EUROCRYPT 2021 | January 2021
  
  Publication
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트
- CrypTFlow2: Practical 2-Party Secure Inference
  
  Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  27th Annual Conference on Computer and Communications Security (ACM CCS 2020) | August 2020
  
  Publication
- CrypTFlow: Secure TensorFlow Inference
  
  Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  IEEE Symposium on Security and Privacy | May 2020
  
  Publication 동영상 Github
- EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning
  
  Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi
  
  IEEE European Symposium on Security and Privacy | February 2019
  
  Publication 동영상 Github
- SecureNN: Efficient and Private Neural Network Training
  
  Sameer Wagh, Divya Gupta, Nishanth Chandran
  
  Privacy Enhancing Technologies Symposium | February 2019
  
  Publication
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트
- EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning
  
  Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi
  
  IEEE European Symposium on Security and Privacy | February 2019
  
  Publication 동영상 Github

- Communication Efficient Secure and Private Multi-Party Deep Learning
  
  Sankha Das, Sayak Ray Chowdhuri, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2025 | January 2025
  
  Publication
- Secure Sorting and Selection via Function Secret Sharing
  
  Amit Agarwal, Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Mahimna Kelkar, Yiping Ma
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | October 2024
  
  Publication
- Securely Training Decision Trees Efficiently
  
  Divyanshu Bhardwaj, Sandhya Saravanan, Nishanth Chandran, Divya Gupta
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | August 2024
  
  Publication
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication
- Orca: FSS-based Secure Training and Inference with GPUs
  
  Neha Jawalkar, Kanav Gupta, Arkaprava Basu, Nishanth Chandran, Divya Gupta, Rahul Sharma
  
  2024 IEEE Symposium on Security and Privacy | May 2024
  
  Publication
- Secure Floating-Point Training
  
  Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
  
  Usenix Security Symposium 2023 | August 2023
  
  Publication
- End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets
  
  Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen
  
  Privacy Enhancing technologies Symposium (PETS) 2023 | July 2023
  
  Publication
- SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost
  
  Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah
  
  USENIX Security | August 2022
  
  USENIX Security 2022
  
  Publication
- LLAMA: A Low Latency Math Library for Secure Inference
  
  Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
  
  PETS 2022 | June 2022
  
  Publication
- Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
  
  Nishanth Chandran, Divya Gupta, Akash Shah
  
  22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
  
  Publication
- SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation
  
  Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi
  
  43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022
  
  Publication
- Secure Featurization and Applications to Secure Phishing Detection
  
  Akash Shah, Nishanth Chandran, Divya Gupta, Mesfin Dema, Arun Gururajan, Huan Yu
  
  CCSW 2021: The ACM Cloud Computing Security Workshop | October 2021
  
  Publication
- Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI
  
  Nishanth Chandran, Nishka Dasgupta, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Sruthi Sekar, Akash Shah
  
  28th Annual Conference on Computer and Communications Security (ACM CCS 2021) | May 2021
  
  Publication
- SIRNN: A Math Library for Secure RNN Inference
  
  Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi
  
  42nd IEEE Symposium on Security and Privacy (IEEE S&P 2021) | February 2021
  
  Publication
- Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
  
  Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Nishant Kumar, Mayank Rathee
  
  EUROCRYPT 2021 | January 2021
  
  Publication
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트
- CrypTFlow2: Practical 2-Party Secure Inference
  
  Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  27th Annual Conference on Computer and Communications Security (ACM CCS 2020) | August 2020
  
  Publication
- CrypTFlow: Secure TensorFlow Inference
  
  Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  IEEE Symposium on Security and Privacy | May 2020
  
  Publication 동영상 Github
- EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning
  
  Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi
  
  IEEE European Symposium on Security and Privacy | February 2019
  
  Publication 동영상 Github
- SecureNN: Efficient and Private Neural Network Training
  
  Sameer Wagh, Divya Gupta, Nishanth Chandran
  
  Privacy Enhancing Technologies Symposium | February 2019
  
  Publication
- Multi-institution encrypted medical imaging AI validation without data sharing
  
  Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P Lungren
  
  August 2021
  
  Publication