Fast Actively Secure OT Extension for Short Secrets. - Arpita Patra; Pratik Sarkar; Ajith Suresh (IACR Cryptol. ePrint Arch., 2016)

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. - Harsh Chaudhari; Ashish Choudhury; Arpita Patra; Ajith Suresh (IACR Cryptol. ePrint Arch., 2019)

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. - Rahul Rachuri; Ajith Suresh (IACR Cryptol. ePrint Arch., 2019)

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. - Harsh Chaudhari; Rahul Rachuri; Ajith Suresh (NDSS, 2020)

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. - Nishat Koti; Mahak Pancholi; Arpita Patra; Ajith Suresh (IACR Cryptol. ePrint Arch., 2020)

BLAZE: Blazing Fast Privacy-Preserving Machine Learning. - Arpita Patra; Ajith Suresh (IACR Cryptol. ePrint Arch., 2020)

ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation. - Arpita Patra; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (IACR Cryptol. ePrint Arch., 2020)

FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. - Megha Byali; Harsh Chaudhari; Arpita Patra; Ajith Suresh (Proc. Priv. Enhancing Technol., 2020)

MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning. - Ajith Suresh (CoRR, 2021)

Tetrad: Actively Secure 4PC for Secure Training and Inference. - Nishat Koti; Arpita Patra; Rahul Rachuri; Ajith Suresh (IACR Cryptol. ePrint Arch., 2021)

SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation. - Arpita Patra; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (IACR Cryptol. ePrint Arch., 2021)

Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs. - Daniel Günther 004; Marco Holz; Benjamin Judkewitz; Helen Möllering; Benny Pinkas; Thomas Schneider 003; Ajith Suresh (CCS, 2022)

Poster: Efficient Three-Party Shuffling Using Precomputation. - Andreas Brüggemann; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (CCS, 2022)

Poster MPClan: : Protocol Suite for Privacy-Conscious Computations. - Nishat Koti; Shravani Patil; Arpita Patra; Ajith Suresh (CCS, 2022)

Privadome: Protecting Citizen Privacy from Delivery Drones. - Gokulnath Pillai; Eikansh Gupta; Ajith Suresh; Vinod Ganapathy; Arpita Patra (CoRR, 2022)

ScionFL: Secure Quantized Aggregation for Federated Learning. - Yaniv Ben-Itzhak; Helen Möllering; Benny Pinkas; Thomas Schneider 003; Ajith Suresh; Oleksandr Tkachenko; Shay Vargaftik; Christian Weinert; Hossein Yalame; Avishay Yanai (CoRR, 2022)

MPClan: Protocol Suite for Privacy-Conscious Computations. - Nishat Koti; Shravani Patil; Arpita Patra; Ajith Suresh (IACR Cryptol. ePrint Arch., 2022)

FLUTE: Fast and Secure Lookup Table Evaluations. - Andreas Brüggemann; Robin Hundt; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (SP, 2023)

HyFL: A Hybrid Approach For Private Federated Learning. - Felix Marx; Thomas Schneider 003; Ajith Suresh; Tobias Wehrle; Christian Weinert; Hossein Yalame (CoRR, 2023)

ScionFL: Efficient and Robust Secure Quantized Aggregation. - Yaniv Ben-Itzhak; Helen Möllering; Benny Pinkas; Thomas Schneider 003; Ajith Suresh; Oleksandr Tkachenko; Shay Vargaftik; Christian Weinert; Hossein Yalame; Avishay Yanai (IACR Cryptol. ePrint Arch., 2023)

FLUTE: Fast and Secure Lookup Table Evaluations (Full Version). - Andreas Brüggemann; Robin Hundt; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (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 003; Ajith Suresh; Hossein Yalame (IACR Cryptol. ePrint Arch., 2023)

PrivMail: A Privacy-Preserving Framework for Secure Emails. - Gowri R. Chandran; Raine Nieminen; Thomas Schneider 003; Ajith Suresh (IACR Cryptol. ePrint Arch., 2023)

SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning. - Till Gehlhar; Felix Marx; Thomas Schneider 003; Ajith Suresh; Tobias Wehrle; Hossein Yalame (IACR Cryptol. ePrint Arch., 2023)

Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries". - Thomas Schneider 003; Ajith Suresh; Hossein Yalame (IEEE Trans. Inf. Forensics Secur., 2023)

MPClan: Protocol Suite for Privacy-Conscious Computations. - Nishat Koti; Shravani Mahesh Patil; Arpita Patra; Ajith Suresh (J. Cryptol., 2023)

Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater. - Andreas Brüggemann; Oliver Schick; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (SP, 2024)

Privadome: Delivery Drones and Citizen Privacy. - Gokulnath Pillai; Ajith Suresh; Eikansh Gupta; Vinod Ganapathy; Arpita Patra (Proc. Priv. Enhancing Technol., 2024)

SoK: Truncation Untangled: Scaling Fixed-Point Arithmetic for Privacy-Preserving Machine Learning to Large Models and Datasets. - Christopher Harth-Kitzerow; Ajith Suresh; Georg Carle (Proc. Priv. Enhancing Technol., 2025)

High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. - Christopher Harth-Kitzerow; Ajith Suresh; Yongqin Wang; Hossein Yalame; Georg Carle; Murali Annavaram (Proc. Priv. Enhancing Technol., 2025)

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 Trans. Cryptogr. Hardw. Embed. Syst., 2025)

Privacy-Preserving Epidemiological Modeling on Mobile Graphs. - Daniel Günther 004; Marco Holz; Benjamin Judkewitz; Helen Möllering; Benny Pinkas; Thomas Schneider 003; Ajith Suresh (IEEE Trans. Inf. Forensics Secur., 2025)