Ajith Suresh
Siddhartha Medical College(IN)Johns Hopkins University(US)University of California, San Francisco(US)Johns Hopkins Medicine(US)Technology Innovation Institute(AE)University of San Francisco(US)
Publications by Year
Research Areas
Cryptography and Data Security, Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques, Complexity and Algorithms in Graphs, Adversarial Robustness in Machine Learning
Most-Cited Works
- → Advances and Open Problems in Federated Learning(2020)4,363 cited
- → FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning(2020)115 cited
- → Tetrad: Actively Secure 4PC for Secure Training and Inference(2022)50 cited
- → SafeFL: MPC-friendly Framework for Private and Robust Federated Learning(2023)48 cited
- ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation.(2020)
- → SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning(2020)36 cited
- → FLUTE: Fast and Secure Lookup Table Evaluations(2023)21 cited