Ajith Suresh

Orcid: 0000-0002-5164-7758

According to our database¹, Ajith Suresh authored at least 34 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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PhD thesis

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Other

Bibliography

2025

Privacy-Preserving Epidemiological Modeling on Mobile Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings.

[BibT_eX]

[DOI]

Christopher Harth-Kitzerow

Proc. Priv. Enhancing Technol., 2025

SoK: Truncation Untangled: Scaling Fixed-Point Arithmetic for Privacy-Preserving Machine Learning to Large Models and Datasets.

[BibT_eX]

[DOI]

Christopher Harth-Kitzerow

Ajith Suresh

Georg Carle

Proc. Priv. Enhancing Technol., 2025

SoK: Connecting the Dots in Privacy-Preserving ML - Systematization of MPC Protocols and Conversions Between Secret Sharing Schemes.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

Pay What You Spend! Privacy-Aware Real-Time Pricing with High Precision IEEE 754 Floating Point Division.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025

2024

Privadome: Delivery Drones and Citizen Privacy.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2024

Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

ScionFL: Efficient and Robust Secure Quantized Aggregation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023

MPClan: Protocol Suite for Privacy-Conscious Computations.

[BibT_eX]

[DOI]

Nishat Koti

Shravani Mahesh Patil

Arpita Patra

Ajith Suresh

J. Cryptol., July, 2023

Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries".

[BibT_eX]

[DOI]

Thomas Schneider

Ajith Suresh

Hossein Yalame

IEEE Trans. Inf. Forensics Secur., 2023

Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater (Full Version).

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

FLUTE: Fast and Secure Lookup Table Evaluations (Full Version).

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC.

[BibT_eX]

[DOI]

Eduardo Soria-Vazquez

Victor Sucasas

Ajith Suresh

IACR Cryptol. ePrint Arch., 2023

HyFL: A Hybrid Approach For Private Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

SafeFL: MPC-friendly Framework for Private and Robust Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Security and Privacy Workshops (SPW), 2023

FLUTE: Fast and Secure Lookup Table Evaluations.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

PrivMail: A Privacy-Preserving Framework for Secure Emails.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2023, 2023

2022

MPClan: Protocol Suite for Privacy-Conscious Computations.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

ScionFL: Secure Quantized Aggregation for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Privadome: Protecting Citizen Privacy from Delivery Drones.

[BibT_eX]

[DOI]

CoRR, 2022

Tetrad: Actively Secure 4PC for Secure Training and Inference.

[BibT_eX]

[DOI]

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Poster MPClan: : Protocol Suite for Privacy-Conscious Computations.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Poster: Efficient Three-Party Shuffling Using Precomputation.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning.

[BibT_eX]

[DOI]

Ajith Suresh

CoRR, 2021

ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

2020

BLAZE: Blazing Fast Privacy-Preserving Machine Learning.

[BibT_eX]

[DOI]

Arpita Patra

Ajith Suresh

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.

[BibT_eX]

[DOI]

Harsh Chaudhari

Rahul Rachuri

Ajith Suresh

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

2019

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning.

[BibT_eX]

[DOI]

Rahul Rachuri

Ajith Suresh

IACR Cryptol. ePrint Arch., 2019

FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2019

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGSAC Conference on Cloud Computing Security Workshop, 2019

2017

Fast Actively Secure OT Extension for Short Secrets.

[BibT_eX]

[DOI]

Arpita Patra

Pratik Sarkar

Ajith Suresh

Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

Ajith Suresh

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