Ajith Suresh

57 papers A* 11A 1Journal 40Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
WW-FL: Secure and Private Large-Scale Federated Learning.
IACR Trans. Cryptogr. Hardw. Embed. Syst.
Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert, Hossein Yalame
2025 J jnl
FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC.
IACR Trans. Cryptogr. Hardw. Embed. Syst.
Najwa Aaraj, Abdelrahaman Aly, Tim Güneysu, Chiara Marcolla, Johannes Mono, Rogerio Paludo, Iván Santos-González, Mireia Scholz, Eduardo Soria-Vazquez, Victor Sucasas, Ajith Suresh
2025 J jnl
High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings.
Proc. Priv. Enhancing Technol.
Christopher Harth-Kitzerow, Ajith Suresh, Yongqin Wang, Hossein Yalame, Georg Carle, Murali Annavaram
2025 A conf
Pay What You Spend! Privacy-Aware Real-Time Pricing with High Precision IEEE 754 Floating Point Division.
AsiaCCS
Soumyadyuti Ghosh, Harishma Boyapally, Ajith Suresh, Arpita Patra, Soumyajit Dey, Debdeep Mukhopadhyay
2025 J jnl
Privacy-Preserving Epidemiological Modeling on Mobile Graphs.
IEEE Trans. Inf. Forensics Secur.
Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh
2025 J jnl
SoK: Connecting the Dots in Privacy-Preserving ML - Systematization of MPC Protocols and Conversions Between Secret Sharing Schemes.
IACR Cryptol. ePrint Arch.
Martin Zbudila, Ajith Suresh, Hossein Yalame, Omid Mirzamohammadi, Aysajan Abidin, Bart Preneel
2025 J jnl
SoK: Truncation Untangled: Scaling Fixed-Point Arithmetic for Privacy-Preserving Machine Learning to Large Models and Datasets.
Proc. Priv. Enhancing Technol.
Christopher Harth-Kitzerow, Ajith Suresh, Georg Carle
2024 J jnl
Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries".
CoRR
Thomas Schneider, Ajith Suresh, Hossein Yalame
2024 J jnl
Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries".
IACR Cryptol. ePrint Arch.
Thomas Schneider, Ajith Suresh, Hossein Yalame
2024 A* conf
Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater.
SP
Andreas Brüggemann, Oliver Schick, Thomas Schneider, Ajith Suresh, Hossein Yalame
2024 J jnl
Privadome: Delivery Drones and Citizen Privacy.
Proc. Priv. Enhancing Technol.
Gokulnath Pillai, Ajith Suresh, Eikansh Gupta, Vinod Ganapathy, Arpita Patra
2024 — conf
ScionFL: Efficient and Robust Secure Quantized Aggregation.
SaTML
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
2023 J jnl
Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries".
IEEE Trans. Inf. Forensics Secur.
Thomas Schneider, Ajith Suresh, Hossein Yalame
2023 J jnl
Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater (Full Version).
IACR Cryptol. ePrint Arch.
Andreas Brüggemann, Oliver Schick, Thomas Schneider, Ajith Suresh, Hossein Yalame
2023 J jnl
FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC.
IACR Cryptol. ePrint Arch.
Najwa Aaraj, Abdelrahaman Aly, Tim Güneysu, Chiara Marcolla, Johannes Mono, Rogerio Paludo, Iván Santos-González, Mireia Scholz, Eduardo Soria-Vazquez, Victor Sucasas, Ajith Suresh
2023 J jnl
FLUTE: Fast and Secure Lookup Table Evaluations (Full Version).
IACR Cryptol. ePrint Arch.
Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh, Hossein Yalame
2023 A* conf
FLUTE: Fast and Secure Lookup Table Evaluations.
SP
Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh, Hossein Yalame
2023 J jnl
HyFL: A Hybrid Approach For Private Federated Learning.
CoRR
Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert, Hossein Yalame
2023 J jnl
MPClan: Protocol Suite for Privacy-Conscious Computations.
J. Cryptol.
Nishat Koti, Shravani Mahesh Patil, Arpita Patra, Ajith Suresh
2023 — conf
PrivMail: A Privacy-Preserving Framework for Secure Emails.
ESORICS (2)
Gowri R. Chandran, Raine Nieminen, Thomas Schneider, Ajith Suresh
2023 J jnl
PrivMail: A Privacy-Preserving Framework for Secure Emails.
IACR Cryptol. ePrint Arch.
Gowri R. Chandran, Raine Nieminen, Thomas Schneider, Ajith Suresh
2023 J jnl
SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning.
IACR Cryptol. ePrint Arch.
Till Gehlhar, Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Hossein Yalame
2023 — conf
SafeFL: MPC-friendly Framework for Private and Robust Federated Learning.
SP (Workshops)
Till Gehlhar, Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Hossein Yalame
2023 J jnl
ScionFL: Efficient and Robust Secure Quantized Aggregation.
IACR Cryptol. ePrint Arch.
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
2022 J jnl
MPClan: Protocol Suite for Privacy-Conscious Computations.
CoRR
Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh
2022 J jnl
MPClan: Protocol Suite for Privacy-Conscious Computations.
IACR Cryptol. ePrint Arch.
Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh
2022 A* conf
Poster MPClan: : Protocol Suite for Privacy-Conscious Computations.
CCS
Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh
2022 A* conf
Poster: Efficient Three-Party Shuffling Using Precomputation.
CCS
Andreas Brüggemann, Thomas Schneider, Ajith Suresh, Hossein Yalame
2022 A* conf
Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs.
CCS
Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh
2022 J jnl
Privacy-Preserving Epidemiological Modeling on Mobile Graphs.
CoRR
Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh
2022 J jnl
Privadome: Protecting Citizen Privacy from Delivery Drones.
CoRR
Gokulnath Pillai, Eikansh Gupta, Ajith Suresh, Vinod Ganapathy, Arpita Patra
2022 J jnl
ScionFL: Secure Quantized Aggregation for Federated Learning.
CoRR
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
2022 A* conf
Tetrad: Actively Secure 4PC for Secure Training and Inference.
NDSS
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
2021 A* conf
ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation.
USENIX Security Symposium
Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame
2021 J jnl
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning.
CoRR
Ajith Suresh
2021 A* conf
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning.
USENIX Security Symposium
Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh
2021 — conf
SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation.
HOST
Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame
2021 J jnl
SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation.
IACR Cryptol. ePrint Arch.
Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame
2021 J jnl
Tetrad: Actively Secure 4PC for Secure Training and Inference.
CoRR
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
2021 J jnl
Tetrad: Actively Secure 4PC for Secure Training and Inference.
IACR Cryptol. ePrint Arch.
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
2020 J jnl
ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation.
IACR Cryptol. ePrint Arch.
Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame
2020 A* conf
BLAZE: Blazing Fast Privacy-Preserving Machine Learning.
NDSS
Arpita Patra, Ajith Suresh
2020 J jnl
BLAZE: Blazing Fast Privacy-Preserving Machine Learning.
CoRR
Arpita Patra, Ajith Suresh
2020 J jnl
BLAZE: Blazing Fast Privacy-Preserving Machine Learning.
IACR Cryptol. ePrint Arch.
Arpita Patra, Ajith Suresh
2020 J jnl
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning.
Proc. Priv. Enhancing Technol.
Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh
2020 J jnl
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning.
CoRR
Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh
2020 J jnl
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning.
IACR Cryptol. ePrint Arch.
Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh
2020 A* conf
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.
NDSS
Harsh Chaudhari, Rahul Rachuri, Ajith Suresh
2019 — conf
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.
CCSW
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
2019 J jnl
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.
CoRR
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
2019 J jnl
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.
IACR Cryptol. ePrint Arch.
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
2019 J jnl
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning.
IACR Cryptol. ePrint Arch.
Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh
2019 J jnl
Fast Actively Secure OT Extension for Short Secrets.
CoRR
Arpita Patra, Pratik Sarkar, Ajith Suresh
2019 J jnl
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.
CoRR
Rahul Rachuri, Ajith Suresh
2019 J jnl
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.
IACR Cryptol. ePrint Arch.
Rahul Rachuri, Ajith Suresh
2017 A* conf
Fast Actively Secure OT Extension for Short Secrets.
NDSS
Arpita Patra, Pratik Sarkar, Ajith Suresh
2016 J jnl
Fast Actively Secure OT Extension for Short Secrets.
IACR Cryptol. ePrint Arch.
Arpita Patra, Pratik Sarkar, Ajith Suresh