Badih Ghazi

I am a Research Scientist in the Algorithms & Optimization Team at Google. Here's a link to my personal webpage

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Differentially Private Heatmaps
Badih Ghazi
Junfeng He
Kai Kohlhoff
Ravi Kumar
Pasin Manurangsi
Vidhya Navalpakkam
Nachiappan Valliappan
2023
Private Counting of Distinct and k-Occurring Items in Time Windows
Badih Ghazi
Jelani Osei Nelson
Pasin Manurangsi
Ravi Kumar Ravikumar
ITCS 2023 (to appear)
Leveraging Bias-Variance Trade-offs for Regression with Label Differential Privacy
Ashwinkumar Badanidiyuru Varadaraja
Avinash Varadarajan
Badih Ghazi
Chiyuan Zhang
Ethan Leeman
Pasin Manurangsi
Pritish Kamath
Ravi Kumar
NeurIPS 2023 (2023)
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Pasin Manurangsi
Ravi Kumar Ravikumar
Thomas Alexander Steinke
ITCS 2023 (to appear)
Differentially Private All-Pairs Shortest Path Distances: Improved Algorithms and Lower Bounds
Badih Ghazi
Jelani Osei Nelson
Justin Y. Chen
Pasin Manurangsi
Ravi Kumar
Shyam Narayanan
Yinzhan Xu
SODA 2023 (to appear)
Private Rank Aggregation in Central and Local Models
Badih Ghazi
Daniel Alabi
Pasin Manurangsi
Ravi Kumar Ravikumar
AAAI 2022
Large-Scale Differentially Private BERT
Badih Ghazi
Pasin Manurangsi
Ravi Kumar
Rohan Anil
Vineet Gupta
Findings of EMNLP 2022 (to appear)
Private Isotonic Regression
Badih Ghazi
Pasin Manurangsi
Pritish Kamath
Ravi Kumar Ravikumar
NeurIPS 2022
Anonymized Histograms in Intermediate Privacy Models
Badih Ghazi
Pasin Manurangsi
Pritish Kamath
Ravi Kumar Ravikumar
NeurIPS 2022
Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions
Badih Ghazi
Pasin Manurangsi
Pritish Kamath
Ravi Kumar Ravikumar
Vadym Doroshenko
PETS 2022
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