Ajith Suresh

According to our database, Ajith Suresh authored at least 28 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MPClan: Protocol Suite for Privacy-Conscious Computations.

Nishat Koti, Shravani Mahesh Patil, Arpita Patra, Ajith Suresh

J. Cryptol., July, 2023

Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries".

Thomas Schneider, Ajith Suresh, Hossein Yalame

IEEE Trans. Inf. Forensics Secur., 2023

SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning.

Till Gehlhar, Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Hossein Yalame

IACR Cryptol. ePrint Arch., 2023

PrivMail: A Privacy-Preserving Framework for Secure Emails.

Gowri R. Chandran, Raine Nieminen, Thomas Schneider, Ajith Suresh

IACR Cryptol. ePrint Arch., 2023

Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater (Full Version).

Andreas Brüggemann, Oliver Schick, Thomas Schneider, Ajith Suresh, Hossein Yalame

IACR Cryptol. ePrint Arch., 2023

FLUTE: Fast and Secure Lookup Table Evaluations (Full Version).

Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh, Hossein Yalame

IACR Cryptol. ePrint Arch., 2023

ScionFL: Efficient and Robust Secure Quantized Aggregation.

Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai

IACR Cryptol. ePrint Arch., 2023

FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC.

Najwa Aaraj, Abdelrahaman Aly, Tim Güneysu, Chiara Marcolla, Johannes Mono, Rogerio Paludo, Iván Santos-González, Mireia Scholz, Eduardo Soria-Vazquez, Victor Sucasas, Ajith Suresh

IACR Cryptol. ePrint Arch., 2023

HyFL: A Hybrid Approach For Private Federated Learning.

Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert, Hossein Yalame

CoRR, 2023

FLUTE: Fast and Secure Lookup Table Evaluations.

Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh, Hossein Yalame

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

MPClan: Protocol Suite for Privacy-Conscious Computations.

Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh

IACR Cryptol. ePrint Arch., 2022

ScionFL: Secure Quantized Aggregation for Federated Learning.

Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai

CoRR, 2022

Privacy-Preserving Epidemiological Modeling on Mobile Graphs.

Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh

CoRR, 2022

Privadome: Protecting Citizen Privacy from Delivery Drones.

Gokulnath Pillai, Eikansh Gupta, Ajith Suresh, Vinod Ganapathy, Arpita Patra

CoRR, 2022

Poster MPClan: : Protocol Suite for Privacy-Conscious Computations.

Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Poster: Efficient Three-Party Shuffling Using Precomputation.

Andreas Brüggemann, Thomas Schneider, Ajith Suresh, Hossein Yalame

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs.

Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation.

Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame

IACR Cryptol. ePrint Arch., 2021

Tetrad: Actively Secure 4PC for Secure Training and Inference.

Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh

IACR Cryptol. ePrint Arch., 2021

MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning.

Ajith Suresh

CoRR, 2021

2020

FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning.

Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh

Proc. Priv. Enhancing Technol., 2020

ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation.

Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame

IACR Cryptol. ePrint Arch., 2020

BLAZE: Blazing Fast Privacy-Preserving Machine Learning.

Arpita Patra, Ajith Suresh

IACR Cryptol. ePrint Arch., 2020

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning.

Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh

IACR Cryptol. ePrint Arch., 2020

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.

Harsh Chaudhari, Rahul Rachuri, Ajith Suresh

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

2019

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.

Rahul Rachuri, Ajith Suresh

IACR Cryptol. ePrint Arch., 2019

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.

Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh

IACR Cryptol. ePrint Arch., 2019

2016

Fast Actively Secure OT Extension for Short Secrets.

Arpita Patra, Pratik Sarkar, Ajith Suresh

IACR Cryptol. ePrint Arch., 2016