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Sasi Kumar Murakonda
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2020 – today
- 2024
- [i6]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 abs/2401.10765 (2024) - [i5]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: 90 (2024) - 2022
- [c2]Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri:
Enhanced Membership Inference Attacks against Machine Learning Models. CCS 2022: 3093-3106 - 2021
- [c1]Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos:
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models. AISTATS 2021: 2287-2295 - [i4]Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Reza Shokri:
Enhanced Membership Inference Attacks against Machine Learning Models. CoRR abs/2111.09679 (2021) - 2020
- [i3]Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri:
On Adversarial Bias and the Robustness of Fair Machine Learning. CoRR abs/2006.08669 (2020) - [i2]Sasi Kumar Murakonda, Reza Shokri:
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning. CoRR abs/2007.09339 (2020)
2010 – 2019
- 2019
- [i1]Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos:
Ultimate Power of Inference Attacks: Privacy Risks of High-Dimensional Models. CoRR abs/1905.12774 (2019)
Coauthor Index
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