Daniel Alabi

38 papers A* 6Journal 28Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
When Does Quantum Differential Privacy Compose?
CoRR
Daniel Alabi, Theshani Nuradha
2025 J jnl
Efficiently Attacking Memorization Scores.
CoRR
Tue Do, Varun Chandrasekaran, Daniel Alabi
2025 J jnl
Inaccessible Entropy for Watermarking Generative Agents.
IACR Cryptol. ePrint Arch.
Daniel Alabi, Lav R. Varshney
2025 — conf
Privacy and Security in Distributed Data Markets.
SIGMOD Conference Companion
Daniel Alabi, Sainyam Galhotra, Shagufta Mehnaz, Zeyu Song, Eugene Wu
2025 J jnl
Privacy and Security in Distributed Data Markets.
IACR Cryptol. ePrint Arch.
Daniel Alabi, Sainyam Galhotra, Shagufta Mehnaz, Zeyu Song, Eugene Wu
2025 J jnl
Representation of Inorganic Synthesis Reactions and Prediction: Graphical Framework and Datasets.
CoRR
Samuel Andrello, Daniel Alabi, Simon J. L. Billinge
2025 J jnl
Scalable Multiterminal Key Agreement via Error-Correcting Codes.
CoRR
Benjamin D. Kim, Daniel Alabi, Lav R. Varshney
2025 — conf
Separating Graph Generative Models via Degree Distributions.
KDD (2)
Daniel Alabi, Dimitris Kalimeris
2025 J jnl
Suna: Scalable Causal Confounder Discovery over Relational Data.
Proc. VLDB Endow.
Jiaxiang Liu, Siyuan Xia, Daniel Alabi, Eugene Wu
2025 J jnl
Watermarking Discrete Diffusion Language Models.
CoRR
Avi Bagchi, Akhil Bhimaraju, Moulik Choraria, Daniel Alabi, Lav R. Varshney
2024 J jnl
EmpireDB: Data System to Accelerate Computational Sciences.
CoRR
Daniel Alabi, Eugene Wu
2024 J jnl
Lecture Notes from the NaijaCoder Summer Camp.
CoRR
Daniel Alabi, Joseph Ekpenyong, Alida Monaco
2024 — conf
NaijaCoder: Participatory Design for Early Algorithms Education in the Global South.
SIGCSE (1)
Daniel Alabi, Atinuke Adegbile, Lekan Afuye, Philip Abel, Alida Monaco
2023 J jnl
Bounded Space Differentially Private Quantiles.
Trans. Mach. Learn. Res.
Daniel Alabi, Omri Ben-Eliezer, Anamay Chaturvedi
2023 J jnl
Degree Distribution Identifiability of Stochastic Kronecker Graphs.
CoRR
Daniel Alabi, Dimitris Kalimeris
2023 J jnl
Differentially Private Hypothesis Testing for Linear Regression.
J. Mach. Learn. Res.
Daniel Alabi, Salil P. Vadhan
2023 J jnl
NaijaCoder: Participatory Design for Early Algorithms Education in the Global South.
CoRR
Daniel Alabi, Atinuke Adegbile, Lekan Afuye, Philip Abel, Alida Monaco
2023 J jnl
Privacy Budget Tailoring in Private Data Analysis.
Trans. Mach. Learn. Res.
Daniel Alabi, Chris Wiggins
2023 A* conf
Privately Estimating a Gaussian: Efficient, Robust, and Optimal.
STOC
Daniel Alabi, Pravesh K. Kothari, Pranay Tankala, Prayaag Venkat, Fred Zhang
2023 J jnl
Saibot: A Differentially Private Data Search Platform.
CoRR
Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu
2023 J jnl
Saibot: A Differentially Private Data Search Platform.
Proc. VLDB Endow.
Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu
2022 J jnl
Bounded Space Differentially Private Quantiles.
CoRR
Daniel Alabi, Omri Ben-Eliezer, Anamay Chaturvedi
2022 J jnl
Differentially Private Simple Linear Regression.
Proc. Priv. Enhancing Technol.
Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam D. Smith, Salil P. Vadhan
2022 A* conf
Hypothesis Testing for Differentially Private Linear Regression.
NeurIPS
Daniel Alabi, Salil P. Vadhan
2022 J jnl
Hypothesis Testing for Differentially Private Linear Regression.
CoRR
Daniel Alabi, Salil P. Vadhan
2022 A* conf
Private Rank Aggregation in Central and Local Models.
AAAI
Daniel Alabi, Badih Ghazi, Ravi Kumar, Pasin Manurangsi
2022 J jnl
Privately Estimating a Gaussian: Efficient, Robust and Optimal.
CoRR
Daniel Alabi, Pravesh K. Kothari, Pranay Tankala, Prayaag Venkat, Fred Zhang
2021 J jnl
Private Rank Aggregation in Central and Local Models.
CoRR
Daniel Alabi, Badih Ghazi, Ravi Kumar, Pasin Manurangsi
2020 J jnl
Differentially Private Simple Linear Regression.
CoRR
Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam D. Smith, Salil P. Vadhan
2019 A* conf
Learning to Prune: Speeding up Repeated Computations.
COLT
Daniel Alabi, Adam Tauman Kalai, Katrina Ligett, Cameron Musco, Christos Tzamos, Ellen Vitercik
2019 J jnl
Learning to Prune: Speeding up Repeated Computations.
CoRR
Daniel Alabi, Adam Tauman Kalai, Katrina Ligett, Cameron Musco, Christos Tzamos, Ellen Vitercik
2019 J jnl
The Cost of a Reductions Approach to Private Fair Optimization.
CoRR
Daniel Alabi
2018 A* conf
Unleashing Linear Optimizers for Group-Fair Learning and Optimization.
COLT
Daniel Alabi, Nicole Immorlica, Adam Kalai
2018 J jnl
When optimizing nonlinear objectives is no harder than linear objectives.
CoRR
Daniel Alabi, Nicole Immorlica, Adam Tauman Kalai
2017 J jnl
Learning Certifiably Optimal Rule Lists for Categorical Data.
CoRR
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo I. Seltzer, Cynthia Rudin
2017 J jnl
Learning Certifiably Optimal Rule Lists for Categorical Data.
J. Mach. Learn. Res.
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo I. Seltzer, Cynthia Rudin
2017 A* conf
Learning Certifiably Optimal Rule Lists.
KDD
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo I. Seltzer, Cynthia Rudin
2016 — conf
PFunk-H: approximate query processing using perceptual models.
HILDA@SIGMOD
Daniel Alabi, Eugene Wu