Sasi Kumar Murakonda

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Privacy Preservation

Machine Learning

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Aydin Abadi, Bradley Doyle, Francesco Gini, Kieron Guinamard, Sasi Kumar Murakonda, Jack Liddell, Paul Mellor, Steven J. Murdoch, Mohammad Naseri, Hector Page, George Theodorakopoulos, Suzanne Weller
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection. CoRR (2024)
Aydin Abadi, Bradley Doyle, Francesco Gini, Kieron Guinamard, Sasi Kumar Murakonda, Jack Liddell, Paul Mellor, Steven J. Murdoch, Mohammad Naseri, Hector Page, George Theodorakopoulos, Suzanne Weller
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection. IACR Cryptol. ePrint Arch. 2024 (2024)
Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri
Enhanced Membership Inference Attacks against Machine Learning Models. CCS (2022)
Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models. AISTATS (2021)
Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Reza Shokri
Enhanced Membership Inference Attacks against Machine Learning Models. CoRR (2021)
Sasi Kumar Murakonda, Reza Shokri
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning. CoRR (2020)
Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri
On Adversarial Bias and the Robustness of Fair Machine Learning. CoRR (2020)
Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos
Ultimate Power of Inference Attacks: Privacy Risks of High-Dimensional Models. CoRR (2019)