Sledovat
Ajith Suresh
Ajith Suresh
Technology Innovation Institute (TII), Abu Dhabi
E-mailová adresa ověřena na: tii.ae - Domovská stránka
Název
Citace
Citace
Rok
ABY2. 0: Improved Mixed-Protocol Secure Two-Party Computation
A Patra, T Schneider, A Suresh, H Yalame
30th USENIX Security Symposium (USENIX Security 21), 2165-2182, 2021
2662021
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
H Chaudhari, R Rachuri, A Suresh
27th Annual Network and Distributed System Security Symposium, (NDSS 2020), 2020
2492020
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
A Patra, A Suresh
27th Annual Network and Distributed System Security Symposium (NDSS 2020), 2020
2152020
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning
M Byali, H Chaudhari, A Patra, A Suresh
Privacy Enhancing Technologies (PoPETS 2020) 2020 (2), 459-480, 2020
1722020
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction
H Chaudhari, A Choudhury, A Patra, A Suresh
2019 ACM SIGSAC Conference on Cloud Computing Security Workshop (ACM CCSW …, 2019
1602019
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
N Koti, M Pancholi, A Patra, A Suresh
30th USENIX Security Symposium (USENIX Security 21), 2651-2668, 2021
1502021
Tetrad: Actively Secure 4PC for Secure Training and Inference
N Koti, A Patra, R Rachuri, A Suresh
29th Annual Network and Distributed System Security Symposium, NDSS 2022, 2022
772022
SafeFL: MPC-friendly framework for private and robust federated learning
T Gehlhar, F Marx, T Schneider, A Suresh, T Wehrle, H Yalame
2023 IEEE Security and Privacy Workshops (SPW), 69-76, 2023
342023
Fast Actively Secure OT Extension for Short Secrets
A Patra, P Sarkar, A Suresh
24th Annual Network and Distributed System Security Symposium, (NDSS 2017), 2017
292017
FLUTE: fast and secure lookup table evaluations
A Brüggemann, R Hundt, T Schneider, A Suresh, H Yalame
2023 IEEE Symposium on Security and Privacy (SP), 515-533, 2023
272023
Scionfl: Efficient and robust secure quantized aggregation
Y Ben-Itzhak, H Möllering, B Pinkas, T Schneider, A Suresh, O Tkachenko, ...
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 490-511, 2024
20*2024
SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation
A Patra, T Schneider, A Suresh, H Yalame
IEEE International Symposium on Hardware Oriented Security and Trust (HOST 2021), 2021
202021
MPClan: Protocol suite for privacy-conscious computations
N Koti, S Patil, A Patra, A Suresh
Journal of Cryptology 36 (3), 22, 2023
182023
Privacy-Preserving Epidemiological Modeling on Mobile Graphs
D Günther, M Holz, B Judkewitz, H Möllering, B Pinkas, T Schneider, ...
Cryptology ePrint Archive 1546 (2020), 2020
17*2020
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
A Suresh
PhD Thesis, 2021
152021
Comments on “privacy-enhanced federated learning against poisoning adversaries”
T Schneider, A Suresh, H Yalame
IEEE Transactions on Information Forensics and Security 18, 1407-1409, 2023
132023
Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater
A Brüggemann, O Schick, T Schneider, A Suresh, H Yalame
2024 IEEE Symposium on Security and Privacy (SP), 164-164, 2024
102024
WW-FL: Secure and Private Large-Scale Federated Learning
F Marx, T Schneider, A Suresh, T Wehrle, C Weinert, H Yalame
6*2023
PrivMail: A Privacy-Preserving Framework for Secure Emails
GR Chandran, R Nieminen, T Schneider, A Suresh
European Symposium on Research in Computer Security, 145-165, 2023
52023
High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings
C Harth-Kitzerow, A Suresh, Y Wang, H Yalame, G Carle, M Annavaram
Privacy Enhancing Technologies (PoPETS 2025), 2025
32025
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Články 1–20