Thomas Steinke
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
16
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Privately Estimating Black-Box Statistics. | Gnter F. Steinke, Thomas Steinke |
| 2025 | ICLR | Near-Exact Privacy Amplification for Matrix Mechanisms. | Christopher A. Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Guha Thakurta |
| 2025 | ICLR | The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD. | Milad Nasr, Thomas Steinke, Borja Balle, Christopher A. Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis |
| 2025 | STOC | Privately Evaluating Untrusted Black-Box Functions. | Ephraim Linder, Sofya Raskhodnikova, Adam Smith, Thomas Steinke |
| 2025 | SP | Hash-Prune-Invert: Improved Differentially Private Heavy-Hitter Detection in the Two-Server Model. | Borja Balle, James Bell-Clark, Albert Cheu, Adri Gascn, Jonathan Katz, Mariana Raykova, Phillipp Schoppmann, Thomas Steinke |
| 2024 | FOCS | Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy. | Krishnamurthy Dj Dvijotham, H. Brendan McMahan, Krishna Pillutla, Thomas Steinke, Abhradeep Thakurta |
| 2024 | ICLR | Correlated Noise Provably Beats Independent Noise for Differentially Private Learning. | Christopher A. Choquette-Choo, Krishnamurthy Dj Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta |
| 2024 | ICLR | Privacy Amplification for Matrix Mechanisms. | Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta |
| 2024 | ICML | Stealing part of a production language model. | Nicholas Carlini, Daniel Paleka, Krishnamurthy Dj Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, Florian Tramr |
| 2023 | ICML | Why Is Public Pretraining Necessary for Private Model Training? | Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang |
| 2022 | COLT | A Private and Computationally-Efficient Estimator for Unbounded Gaussians. | Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman |
| 2022 | FPGA | Co-Design for Energy Efficient and Fast Genomic Search: Interleaved Bloom Filter on FPGA. | Marius Knaust, Enrico Seiler, Knut Reinert, Thomas Steinke |
| 2022 | ICLR | Hyperparameter Tuning with Renyi Differential Privacy. | Nicolas Papernot, Thomas Steinke |
| 2022 | ICML | Public Data-Assisted Mirror Descent for Private Model Training. | Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta |
| 2021 | AISTATS | Evading the Curse of Dimensionality in Unconstrained Private GLMs. | Shuang Song, Thomas Steinke, Om Thakkar, Abhradeep Thakurta |
| 2021 | COLT | PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes. | Peter Grnwald, Thomas Steinke, Lydia Zakynthinou |
| 2021 | ICML | The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation. | Peter Kairouz, Ziyu Liu, Thomas Steinke |
| 2021 | ICML | Leveraging Public Data for Practical Private Query Release. | Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan R. Ullman, Zhiwei Steven Wu |
| 2020 | COLT | Reasoning About Generalization via Conditional Mutual Information. | Thomas Steinke, Lydia Zakynthinou |
| 2020 | COLT | Open Problem: Information Complexity of VC Learning. | Thomas Steinke, Lydia Zakynthinou |
| 2020 | EuroPar | HighPerMeshes - A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. | Samer Alhaddad, Jens Frstner, Stefan Groth, Daniel Grnewald, Yevgen Grynko, Frank Hannig, Tobias Kenter, Franz-Josef Pfreundt, Christian Plessl, Merlind Schotte, Thomas Steinke, Jrgen Teich, Martin Weiser, Florian Wende |
| 2020 | ICML | New Oracle-Efficient Algorithms for Private Synthetic Data Release. | Giuseppe Vietri, Grace Tian, Mark Bun, Thomas Steinke, Zhiwei Steven Wu |
| 2020 | SC | Leveraging a Heterogeneous Memory System for a Legacy Fortran Code: The Interplay of Storage Class Memory, DRAM and OS. | Steffen Christgau, Thomas Steinke |
| 2019 | CCS | A Hybrid Approach to Privacy-Preserving Federated Learning. | Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou |
| 2019 | SODA | Towards Instance-Optimal Private Query Release. | Jaroslaw Blasiok, Mark Bun, Aleksandar Nikolov, Thomas Steinke |
| 2018 | COLT | Calibrating Noise to Variance in Adaptive Data Analysis. | Vitaly Feldman, Thomas Steinke |
| 2018 | STOC | Composable and versatile privacy via truncated CDP. | Mark Bun, Cynthia Dwork, Guy N. Rothblum, Thomas Steinke |
| 2017 | COLT | Generalization for Adaptively-chosen Estimators via Stable Median. | Vitaly Feldman, Thomas Steinke |
| 2017 | FOCS | Tight Lower Bounds for Differentially Private Selection. | Thomas Steinke, Jonathan R. Ullman |
| 2017 | SODA | Make Up Your Mind: The Price of Online Queries in Differential Privacy. | Mark Bun, Thomas Steinke, Jonathan R. Ullman |
| 2016 | EuroPar | Portable SIMD Performance with OpenMP* 4.x Compiler Directives. | Florian Wende, Matthias Noack, Thomas Steinke, Michael Klemm, Chris J. Newburn, Georg Zitzlsberger |
| 2016 | ITA | Interactive fingerprinting codes and the hardness of preventing false discovery. | Thomas Steinke, Jonathan R. Ullman |
| 2016 | STOC | Algorithmic stability for adaptive data analysis. | Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman |
| 2016 | TCC | Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds. | Mark Bun, Thomas Steinke |
| 2015 | COLT | Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery. | Thomas Steinke, Jonathan R. Ullman |
| 2015 | FOCS | Robust Traceability from Trace Amounts. | Cynthia Dwork, Adam D. Smith, Thomas Steinke, Jonathan R. Ullman, Salil P. Vadhan |
| 2014 | EuroPar | Concurrent Kernel Execution on Xeon Phi within Parallel Heterogeneous Workloads. | Florian Wende, Thomas Steinke, Frank Cordes |
| 2014 | SC | A Unified Programming Model for Intra- and Inter-Node Offloading on Xeon Phi Clusters. | Matthias Noack, Florian Wende, Thomas Steinke, Frank Cordes |
| 2013 | EuroPar | An Automated Approach for Estimating the Memory Footprint of Non-linear Data Objects. | Sebastian Dreler, Thomas Steinke |
| 2013 | SC | Swendsen-Wang multi-cluster algorithm for the 2D/3D Ising model on Xeon Phi and GPU. | Florian Wende, Thomas Steinke |
| 2012 | ALENEX | Hierarchical Heavy Hitters with the Space Saving Algorithm. | Justin Thaler, Michael Mitzenmacher, Thomas Steinke |
| 2010 | CCGRID | Programming Challenges for the Implementation of Numerical Quadrature in Atomic Physics on FPGA and GPU Accelerators. | Charles J. Gillan, Thomas Steinke, J. Bock, S. Borchert, Ivor T. A. Spence, N. Stanley Scott |
| 2006 | EuroPar | ZIB Structure Prediction Pipeline: Composing a Complex Biological Workflow Through Web Services. | Patrick May, Hans-Christian Ehrlich, Thomas Steinke |