Enayat Ullah

33 papers A* 12B 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Synthetic Tabular Data: Methods, Attacks and Defenses.
KDD (2)
Graham Cormode, Samuel Maddock, Enayat Ullah, Shripad Gade
2025 J jnl
Synthetic Tabular Data: Methods, Attacks and Defenses.
CoRR
Graham Cormode, Samuel Maddock, Enayat Ullah, Shripad Gade
2025 J jnl
Synthetic Tabular Data: methods, attacks and defenses.
Proc. VLDB Endow.
Graham Cormode, Shripad Gade, Samuel Maddock, Enayat Ullah
2024 A* conf
Adversarially Robust Multi-task Representation Learning.
NeurIPS
Austin Watkins, Thanh Nguyen-Tang, Enayat Ullah, Raman Arora
2024 B conf
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates.
ALT
Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
2024 A* conf
Public-data Assisted Private Stochastic Optimization: Power and Limitations.
NeurIPS
Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
2024 J jnl
Public-data Assisted Private Stochastic Optimization: Power and Limitations.
CoRR
Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
2023 J jnl
Clustering using Approximate Nearest Neighbour Oracles.
Trans. Mach. Learn. Res.
Enayat Ullah, Harry Lang, Raman Arora, Vladimir Braverman
2023 J jnl
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates.
CoRR
Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
2023 A* conf
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization.
ICML
Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2023 A* conf
From Adaptive Query Release to Machine Unlearning.
ICML
Enayat Ullah, Raman Arora
2023 J jnl
From Adaptive Query Release to Machine Unlearning.
CoRR
Enayat Ullah, Raman Arora
2023 J jnl
Generalization bounds for Kernel Canonical Correlation Analysis.
Trans. Mach. Learn. Res.
Enayat Ullah, Raman Arora
2023 A* conf
Optimistic Rates for Multi-Task Representation Learning.
NeurIPS
Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora
2023 A* conf
Private Federated Learning with Autotuned Compression.
ICML
Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh
2023 J jnl
Private Federated Learning with Autotuned Compression.
CoRR
Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh
2022 A* conf
Adversarial Robustness is at Odds with Lazy Training.
NeurIPS
Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
2022 J jnl
Adversarial Robustness is at Odds with Lazy Training.
CoRR
Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
2022 A* conf
Differentially Private Generalized Linear Models Revisited.
NeurIPS
Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2022 J jnl
Differentially Private Generalized Linear Models Revisited.
CoRR
Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2022 J jnl
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization.
CoRR
Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2021 A* conf
Machine Unlearning via Algorithmic Stability.
COLT
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
2021 J jnl
Machine Unlearning via Algorithmic Stability.
CoRR
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
2020 A* conf
FetchSGD: Communication-Efficient Federated Learning with Sketching.
ICML
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
2020 J jnl
FetchSGD: Communication-Efficient Federated Learning with Sketching.
CoRR
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
2020 J jnl
Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives.
CoRR
Raman Arora, Teodor V. Marinov, Enayat Ullah
2019 A* conf
Communication-efficient Distributed SGD with Sketching.
NeurIPS
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
2019 J jnl
Communication-efficient distributed SGD with Sketching.
CoRR
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
2019 — conf
Improved Algorithms for Time Decay Streams.
APPROX-RANDOM
Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou
2019 J jnl
Improved Algorithms for Time Decay Streams.
CoRR
Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou
2018 J jnl
Convergence guarantees for RMSProp and ADAM in non-convex optimization and their comparison to Nesterov acceleration on autoencoders.
CoRR
Amitabh Basu, Soham De, Anirbit Mukherjee, Enayat Ullah
2018 A* conf
Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features.
NeurIPS
Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora
2018 J jnl
Streaming Kernel PCA with Õ(√n) Random Features.
CoRR
Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora