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
EzPC (Easy Secure Multi-party Computation)
출판물
연도별 간행물
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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
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
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
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
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Secure Floating-Point Training
Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
Usenix Security Symposium 2023 | August 2023
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
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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
Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
Nishanth Chandran, Divya Gupta, Akash Shah
22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
LLAMA: A Low Latency Math Library for Secure Inference
Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
PETS 2022 | June 2022
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
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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
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
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
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
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
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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
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
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
IEEE Symposium on Security and Privacy | May 2020
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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
SecureNN: Efficient and Private Neural Network Training
Sameer Wagh, Divya Gupta, Nishanth Chandran
Privacy Enhancing Technologies Symposium | February 2019
연구분야별 간행물
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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
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
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
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
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
Secure Floating-Point Training
Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
Usenix Security Symposium 2023 | August 2023
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
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
LLAMA: A Low Latency Math Library for Secure Inference
Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
PETS 2022 | June 2022
Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
Nishanth Chandran, Divya Gupta, Akash Shah
22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
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
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
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
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
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
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
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
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
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
IEEE Symposium on Security and Privacy | May 2020
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
SecureNN: Efficient and Private Neural Network Training
Sameer Wagh, Divya Gupta, Nishanth Chandran
Privacy Enhancing Technologies Symposium | February 2019
-
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
-
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
-
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
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
유형별 출판물
-
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
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
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
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
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
Secure Floating-Point Training
Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
Usenix Security Symposium 2023 | August 2023
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
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
LLAMA: A Low Latency Math Library for Secure Inference
Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
PETS 2022 | June 2022
Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
Nishanth Chandran, Divya Gupta, Akash Shah
22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
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
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
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
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
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
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
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
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
IEEE Symposium on Security and Privacy | May 2020
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
SecureNN: Efficient and Private Neural Network Training
Sameer Wagh, Divya Gupta, Nishanth Chandran
Privacy Enhancing Technologies Symposium | February 2019
-
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