Obserwuj
Ajith Suresh
Ajith Suresh
Technology Innovation Institute (TII), Abu Dhabi
Zweryfikowany adres z tii.ae - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2122020
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
2112021
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
A Patra, A Suresh
27th Annual Network and Distributed System Security Symposium (NDSS 2020), 2020
1832020
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
1472020
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
1362019
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
1132021
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
612022
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
272017
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
172023
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
15*2024
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
152023
MPClan: Protocol suite for privacy-conscious computations
N Koti, S Patil, A Patra, A Suresh
Journal of Cryptology 36 (3), 22, 2023
142023
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
142021
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
13*2020
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
A Suresh
PhD Thesis, 2021
122021
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
102023
WW-FL: Secure and Private Large-Scale Federated Learning
F Marx, T Schneider, A Suresh, T Wehrle, C Weinert, H Yalame
5*2023
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
3*2024
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
22023
MPCLeague: Robust and Efficient Mixed‐protocol Framework for 4‐party Computation
N Koti, A Patra, A Suresh
Distributed and Private Machine Learning (DPML), ICLR Workshop, 2021
2*2021
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Prace 1–20