Borja Balle

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 87

Top Venues

Publications

Jonathan Lebensold, Doina Precup, Borja Balle
On the Privacy of Selection Mechanisms with Gaussian Noise. CoRR (2024)
Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. CoRR (2024)
Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika
The Ethics of Advanced AI Assistants. CoRR (2024)
Eugene Bagdasaryan, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage
Air Gap: Protecting Privacy-Conscious Conversational Agents. CoRR (2024)
Jonathan Lebensold, Doina Precup, Borja Balle
On the Privacy of Selection Mechanisms with Gaussian Noise. AISTATS (2024)
Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle
Unlocking Accuracy and Fairness in Differentially Private Image Classification. CoRR (2023)
Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
Differentially Private Diffusion Models Generate Useful Synthetic Images. CoRR (2023)
Clara Lacroce, Borja Balle, Prakash Panangaden, Guillaume Rabusseau
Optimal Approximate Minimization of One-Letter Weighted Finite Automata. CoRR (2023)
Borja Balle, James Bell, Adrià Gascón
Amplification by Shuffling without Shuffling. CoRR (2023)
Jamie Hayes, Borja Balle, Saeed Mahloujifar
Bounding training data reconstruction in DP-SGD. NeurIPS (2023)
Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
Extracting Training Data from Diffusion Models. USENIX Security Symposium (2023)
Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis
Tight Auditing of Differentially Private Machine Learning. CoRR (2023)
Jamie Hayes, Saeed Mahloujifar, Borja Balle
Bounding Training Data Reconstruction in DP-SGD. CoRR (2023)
Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller
Mnemonist: Locating Model Parameters that Memorize Training Examples. UAI (2023)
Borja Balle, James Bell, Adrià Gascón
Amplification by Shuffling without Shuffling. CCS (2023)
Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
Extracting Training Data from Diffusion Models. CoRR (2023)
Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis
Tight Auditing of Differentially Private Machine Learning. USENIX Security Symposium (2023)
Borja Balle, Giovanni Cherubin, Jamie Hayes
Reconstructing Training Data with Informed Adversaries. IEEE Symposium on Security and Privacy (2022)
Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle
Unlocking High-Accuracy Differentially Private Image Classification through Scale. CoRR (2022)
Borja Balle, Pascale Gourdeau, Prakash Panangaden
Bisimulation metrics and norms for real-weighted automata. Inf. Comput. 282 (2022)
Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William S. Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel
Taxonomy of Risks posed by Language Models. FAccT (2022)
Jamie Hayes, Borja Balle, M. Pawan Kumar
Learning to be adversarially robust and differentially private. CoRR (2022)
Borja Balle, Guillaume Rabusseau
Approximate minimization of weighted tree automata. Inf. Comput. 282 (2022)
Borja Balle, Giovanni Cherubin, Jamie Hayes
Reconstructing Training Data with Informed Adversaries. CoRR (2022)
Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup, Guillaume Rabusseau
Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata. ICALP (2021)
Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup, Guillaume Rabusseau
Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata. CoRR (2021)
Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William S. Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel
Ethical and social risks of harm from Language Models. CoRR (2021)
Hisham Husain, Borja Balle
A Law of Robustness for Weight-bounded Neural Networks. CoRR (2021)
Borja Balle, Peter Kairouz, H. Brendan McMahan, Om Thakkar, Abhradeep Thakurta
Privacy Amplification via Random Check-Ins. CoRR (2020)
Louigi Addario-Berry, Borja Balle, Guillem Perarnau
Diameter and Stationary Distribution of Random $r$-Out Digraphs. Electron. J. Comb. 27 (3) (2020)
Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
Model-Agnostic Counterfactual Explanations for Consequential Decisions. AISTATS (2020)
Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
Private Summation in the Multi-Message Shuffle Model. CCS (2020)
Hisham Husain, Borja Balle, Zac Cranko, Richard Nock
Local Differential Privacy for Sampling. AISTATS (2020)
Borja Balle, Gilles Barthe, Marco Gaboardi, Justin Hsu, Tetsuya Sato
Hypothesis Testing Interpretations and Renyi Differential Privacy. AISTATS (2020)
Phillipp Schoppmann, Lennart Vogelsang, Adrià Gascón, Borja Balle
Secure and Scalable Document Similarity on Distributed Databases: Differential Privacy to the Rescue. Proc. Priv. Enhancing Technol. 2020 (2) (2020)
Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu
Private Reinforcement Learning with PAC and Regret Guarantees. ICML (2020)
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. WSDM (2020)
Borja Balle, Gilles Barthe, Marco Gaboardi
Privacy Profiles and Amplification by Subsampling. J. Priv. Confidentiality 10 (1) (2020)
Borja Balle, Peter Kairouz, Brendan McMahan, Om Dipakbhai Thakkar, Abhradeep Thakurta
Privacy Amplification via Random Check-Ins. NeurIPS (2020)
Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan
Subsampled Rényi Differential Privacy and Analytical Moments Accountant. J. Priv. Confidentiality 10 (2) (2020)
Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
Private Summation in the Multi-Message Shuffle Model. CoRR (2020)
Oluwaseyi Feyisetan, Borja Balle
Privacy-Preserving Textual Analysis via Calibrated Perturbations. PrivateNLP@WSDM (2020)
Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu
Private Reinforcement Learning with PAC and Regret Guarantees. CoRR (2020)
Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle
Automatic Discovery of Privacy-Utility Pareto Fronts. Proc. Priv. Enhancing Technol. 2020 (4) (2020)
Oluwaseyi Feyisetan, Borja Balle, Tom Diethe, Thomas Drake
Calibrating Mechanisms for Privacy Preserving Text Analysis. PrivateNLP@WSDM (2020)
Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR (2020)
Borja Balle, Gilles Barthe, Marco Gaboardi, Joseph Geumlek
Privacy Amplification by Mixing and Diffusion Mechanisms. CoRR (2019)
Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
Improved Summation from Shuffling. CoRR (2019)
Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
The Privacy Blanket of the Shuffle Model. CoRR (2019)
Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
Model-Agnostic Counterfactual Explanations for Consequential Decisions. CoRR (2019)
Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
The Privacy Blanket of the Shuffle Model. CRYPTO (2) (2019)
Borja Balle, Gilles Barthe, Marco Gaboardi, Joseph Geumlek
Privacy Amplification by Mixing and Diffusion Mechanisms. NeurIPS (2019)
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. CoRR (2019)
Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
Differentially Private Summation with Multi-Message Shuffling. CoRR (2019)
Tom Diethe, Tom Borchert, Eno Thereska, Borja Balle, Neil Lawrence
Continual Learning in Practice. CoRR (2019)
Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan
Subsampled Renyi Differential Privacy and Analytical Moments Accountant. AISTATS (2019)
Borja Balle, Gilles Barthe, Marco Gaboardi, Justin Hsu, Tetsuya Sato
Hypothesis Testing Interpretations and Renyi Differential Privacy. CoRR (2019)
Borja Balle, Adrià Gascón, Olya Ohrimenko, Mariana Raykova, Phillipp Schoppmann, Carmela Troncoso
PPML '19: Privacy Preserving Machine Learning. CCS (2019)
Oluwaseyi Feyisetan, Thomas Drake, Borja Balle, Tom Diethe
Privacy-preserving Active Learning on Sensitive Data for User Intent Classification. CoRR (2019)
Borja Balle, Prakash Panangaden, Doina Precup
Singular value automata and approximate minimization. Math. Struct. Comput. Sci. 29 (9) (2019)
Jonathan Lebensold, William L. Hamilton, Borja Balle, Doina Precup
Actor Critic with Differentially Private Critic. CoRR (2019)
Brendan Avent, Javier Gonzalez, Tom Diethe, Andrei Paleyes, Borja Balle
Automatic Discovery of Privacy-Utility Pareto Fronts. CoRR (2019)
Matteo Ruffini, Guillaume Rabusseau, Borja Balle
Hierarchical Methods of Moments. CoRR (2018)
Borja Balle, Gilles Barthe, Marco Gaboardi
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. CoRR (2018)
Phillipp Schoppmann, Adrià Gascón, Borja Balle
Private Nearest Neighbors Classification in Federated Databases. IACR Cryptol. ePrint Arch. 2018 (2018)
Borja Balle, Yu-Xiang Wang
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising. CoRR (2018)
Borja Balle, Mehryar Mohri
Generalization bounds for learning weighted automata. Theor. Comput. Sci. 716 (2018)
Borja Balle, Gilles Barthe, Marco Gaboardi
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. NeurIPS (2018)
Borja Balle, Yu-Xiang Wang
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising. ICML (2018)
Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan
Subsampled Rényi Differential Privacy and Analytical Moments Accountant. CoRR (2018)
Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup
Learning Predictive State Representations From Non-Uniform Sampling. AAAI (2018)
Borja Balle, Prakash Panangaden, Doina Precup
Singular value automata and approximate minimization. CoRR (2017)
Borja Balle, Odalric-Ambrym Maillard
Spectral Learning from a Single Trajectory under Finite-State Policies. ICML (2017)
Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans
Privacy-Preserving Distributed Linear Regression on High-Dimensional Data. Proc. Priv. Enhancing Technol. 2017 (4) (2017)
Guillaume Rabusseau, Borja Balle, Joelle Pineau
Multitask Spectral Learning of Weighted Automata. NIPS (2017)
Borja Balle, Pascale Gourdeau, Prakash Panangaden
Bisimulation Metrics for Weighted Automata. CoRR (2017)
Borja Balle, Pascale Gourdeau, Prakash Panangaden
Bisimulation Metrics for Weighted Automata. ICALP (2017)
Matteo Ruffini, Guillaume Rabusseau, Borja Balle
Hierarchical Methods of Moments. NIPS (2017)
Borja Balle, Maziar Gomrokchi, Doina Precup
Differentially Private Policy Evaluation. CoRR (2016)
Guillaume Rabusseau, Borja Balle, Shay B. Cohen
Low-Rank Approximation of Weighted Tree Automata. AISTATS (2016)
Boyu Wang, Joelle Pineau, Borja Balle
Multitask Generalized Eigenvalue Program. AAAI (2016)
Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans
Secure Linear Regression on Vertically Partitioned Datasets. IACR Cryptol. ePrint Arch. 2016 (2016)
Borja Balle, Rémi Eyraud, Franco M. Luque, Ariadna Quattoni, Sicco Verwer
Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence. ICGI (2016)
Borja Balle, Maziar Gomrokchi, Doina Precup
Differentially Private Policy Evaluation. ICML (2016)
Lucas Langer, Borja Balle, Doina Precup
Learning Multi-Step Predictive State Representations. IJCAI (2016)
Chenghui Zhou, Borja Balle, Joelle Pineau
Learning time series models for pedestrian motion prediction. ICRA (2016)
Borja Balle, Mehryar Mohri
Generalization Bounds for Weighted Automata. CoRR (2016)
Borja Balle, Prakash Panangaden, Doina Precup
A Canonical Form for Weighted Automata and Applications to Approximate Minimization. CoRR (2015)
Borja Balle, Mehryar Mohri
On the Rademacher Complexity of Weighted Automata. ALT (2015)
Borja Balle, Prakash Panangaden, Doina Precup
A Canonical Form for Weighted Automata and Applications to Approximate Minimization. LICS (2015)
Louigi Addario-Berry, Borja Balle, Guillem Perarnau
Diameter and Stationary Distribution of Random $r$-out Digraphs. CoRR (2015)
Borja Balle, Mehryar Mohri
Learning Weighted Automata. CAI (2015)
Guillaume Rabusseau, Borja Balle, Shay B. Cohen
Weighted Tree Automata Approximation by Singular Value Truncation. CoRR (2015)
Pierre-Luc Bacon, Borja Balle, Doina Precup
Learning and Planning with Timing Information in Markov Decision Processes. UAI (2015)
Borja Balle, Jorge Castro, Ricard Gavaldà
Adaptively learning probabilistic deterministic automata from data streams. Mach. Learn. 96 (1-2) (2014)
Ariadna Quattoni, Borja Balle, Xavier Carreras, Amir Globerson
Spectral Regularization for Max-Margin Sequence Tagging. ICML (2014)
Borja Balle, Xavier Carreras, Franco M. Luque, Ariadna Quattoni
Spectral learning of weighted automata - A forward-backward perspective. Mach. Learn. 96 (1-2) (2014)
Borja Balle, William L. Hamilton, Joelle Pineau
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. ICML (2014)
Borja Balle
Ergodicity of Random Walks on Random DFA. CoRR (2013)
Borja Balle, Jorge Castro, Ricard Gavaldà
Learning probabilistic automata: A study in state distinguishability. Theor. Comput. Sci. 473 (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Borja Balle