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2020 – today
- 2025
[j6]Christopher Harth-Kitzerow, Ajith Suresh, Yongqin Wang, Hossein Yalame, Georg Carle, Murali Annavaram:
High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. Proc. Priv. Enhancing Technol. 2025(1): 250-272 (2025)- [j5]Najwa Aaraj, Abdelrahaman Aly, Tim Güneysu, Chiara Marcolla, Johannes Mono, Rogerio Paludo, Iván Santos-González, Mireia Scholz, Eduardo Soria-Vazquez, Victor Sucasas, Ajith Suresh:
FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2025(1): 1-36 (2025) - 2024
- [j4]Gokulnath Pillai, Ajith Suresh, Eikansh Gupta, Vinod Ganapathy, Arpita Patra:
Privadome: Delivery Drones and Citizen Privacy. Proc. Priv. Enhancing Technol. 2024(2): 29-48 (2024) - [c16]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider
, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Efficient and Robust Secure Quantized Aggregation. SaTML 2024: 490-511 - [c15]Andreas Brüggemann, Oliver Schick, Thomas Schneider, Ajith Suresh, Hossein Yalame:
Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater. SP 2024: 503-522 - [i30]Thomas Schneider, Ajith Suresh, Hossein Yalame:
Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries". CoRR abs/2409.19964 (2024) - [i29]Thomas Schneider, Ajith Suresh, Hossein Yalame:
Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries". IACR Cryptol. ePrint Arch. 2024: 1504 (2024) - 2023
- [j3]Nishat Koti, Shravani Mahesh Patil, Arpita Patra, Ajith Suresh:
MPClan: Protocol Suite for Privacy-Conscious Computations. J. Cryptol. 36(3): 22 (2023) - [j2]Thomas Schneider, Ajith Suresh, Hossein Yalame:
Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries". IEEE Trans. Inf. Forensics Secur. 18: 1407-1409 (2023) - [c14]Gowri R. Chandran, Raine Nieminen, Thomas Schneider, Ajith Suresh:
PrivMail: A Privacy-Preserving Framework for Secure Emails. ESORICS (2) 2023: 145-165 - [c13]Till Gehlhar, Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Hossein Yalame:
SafeFL: MPC-friendly Framework for Private and Robust Federated Learning. SP (Workshops) 2023: 69-76 - [c12]Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh, Hossein Yalame:
FLUTE: Fast and Secure Lookup Table Evaluations. SP 2023: 515-533 - [i28]Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert, Hossein Yalame:
HyFL: A Hybrid Approach For Private Federated Learning. CoRR abs/2302.09904 (2023) - [i27]Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh, Hossein Yalame:
FLUTE: Fast and Secure Lookup Table Evaluations (Full Version). IACR Cryptol. ePrint Arch. 2023: 499 (2023) - [i26]Till Gehlhar, Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Hossein Yalame:
SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning. IACR Cryptol. ePrint Arch. 2023: 555 (2023) - [i25]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Efficient and Robust Secure Quantized Aggregation. IACR Cryptol. ePrint Arch. 2023: 652 (2023) - [i24]Gowri R. Chandran, Raine Nieminen, Thomas Schneider, Ajith Suresh:
PrivMail: A Privacy-Preserving Framework for Secure Emails. IACR Cryptol. ePrint Arch. 2023: 1294 (2023) - [i23]Andreas Brüggemann, Oliver Schick, Thomas Schneider, Ajith Suresh, Hossein Yalame:
Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater (Full Version). IACR Cryptol. ePrint Arch. 2023: 1744 (2023) - [i22]Najwa Aaraj, Abdelrahaman Aly, Tim Güneysu, Chiara Marcolla, Johannes Mono, Rogerio Paludo, Iván Santos-González, Mireia Scholz, Eduardo Soria-Vazquez, Victor Sucasas, Ajith Suresh:
FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC. IACR Cryptol. ePrint Arch. 2023: 1918 (2023) - 2022
- [c11]Andreas Brüggemann, Thomas Schneider, Ajith Suresh, Hossein Yalame:
Poster: Efficient Three-Party Shuffling Using Precomputation. CCS 2022: 3331-3333 - [c10]Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh:
Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs. CCS 2022: 3351-3353 - [c9]Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh:
Poster MPClan: : Protocol Suite for Privacy-Conscious Computations. CCS 2022: 3379-3381 - [c8]Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh:
Tetrad: Actively Secure 4PC for Secure Training and Inference. NDSS 2022 - [i21]Gokulnath Pillai, Eikansh Gupta, Ajith Suresh, Vinod Ganapathy, Arpita Patra:
Privadome: Protecting Citizen Privacy from Delivery Drones. CoRR abs/2205.04961 (2022) - [i20]Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh:
Privacy-Preserving Epidemiological Modeling on Mobile Graphs. CoRR abs/2206.00539 (2022) - [i19]Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh:
MPClan: Protocol Suite for Privacy-Conscious Computations. CoRR abs/2206.12224 (2022) - [i18]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Secure Quantized Aggregation for Federated Learning. CoRR abs/2210.07376 (2022) - [i17]Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh:
MPClan: Protocol Suite for Privacy-Conscious Computations. IACR Cryptol. ePrint Arch. 2022: 675 (2022) - 2021
- [c7]Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame:
SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation. HOST 2021: 147-157 - [c6]Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame:
ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation. USENIX Security Symposium 2021: 2165-2182 - [c5]Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh:
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. USENIX Security Symposium 2021: 2651-2668 - [i16]Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh:
Tetrad: Actively Secure 4PC for Secure Training and Inference. CoRR abs/2106.02850 (2021) - [i15]Ajith Suresh:
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning. CoRR abs/2112.13338 (2021) - [i14]Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh:
Tetrad: Actively Secure 4PC for Secure Training and Inference. IACR Cryptol. ePrint Arch. 2021: 755 (2021) - [i13]Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame:
SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation. IACR Cryptol. ePrint Arch. 2021: 1153 (2021) - 2020
- [j1]Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh:
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. Proc. Priv. Enhancing Technol. 2020(2): 459-480 (2020) - [c4]Harsh Chaudhari, Rahul Rachuri, Ajith Suresh:
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. NDSS 2020 - [c3]Arpita Patra, Ajith Suresh:
BLAZE: Blazing Fast Privacy-Preserving Machine Learning. NDSS 2020 - [i12]Arpita Patra, Ajith Suresh:
BLAZE: Blazing Fast Privacy-Preserving Machine Learning. CoRR abs/2005.09042 (2020) - [i11]Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh:
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. CoRR abs/2005.10296 (2020) - [i10]Arpita Patra, Ajith Suresh:
BLAZE: Blazing Fast Privacy-Preserving Machine Learning. IACR Cryptol. ePrint Arch. 2020: 42 (2020) - [i9]Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh:
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. IACR Cryptol. ePrint Arch. 2020: 592 (2020) - [i8]Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame:
ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation. IACR Cryptol. ePrint Arch. 2020: 1225 (2020)
2010 – 2019
- 2019
- [c2]Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh:
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. CCSW 2019: 81-92 - [i7]Arpita Patra, Pratik Sarkar, Ajith Suresh:
Fast Actively Secure OT Extension for Short Secrets. CoRR abs/1911.08834 (2019) - [i6]Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh:
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. CoRR abs/1912.02592 (2019) - [i5]Rahul Rachuri, Ajith Suresh:
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. CoRR abs/1912.02631 (2019) - [i4]Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh:
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. IACR Cryptol. ePrint Arch. 2019: 429 (2019) - [i3]Rahul Rachuri, Ajith Suresh:
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. IACR Cryptol. ePrint Arch. 2019: 1315 (2019) - [i2]Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh:
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. IACR Cryptol. ePrint Arch. 2019: 1365 (2019) - 2017
- [c1]Arpita Patra, Pratik Sarkar, Ajith Suresh:
Fast Actively Secure OT Extension for Short Secrets. NDSS 2017 - 2016
- [i1]Arpita Patra, Pratik Sarkar, Ajith Suresh:
Fast Actively Secure OT Extension for Short Secrets. IACR Cryptol. ePrint Arch. 2016: 940 (2016)
Coauthor Index
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last updated on 2025-01-16 22:06 CET by the dblp team
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