Sahra Ghalebikesabi

25 papers A* 4A 3Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity.
Trans. Mach. Learn. Res.
Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle
2025 J jnl
Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models.
CoRR
Jamie Hayes, Ilia Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Katherine Lee, Milad Nasr, Sahra Ghalebikesabi, Niloofar Mireshghallah, Meenatchi Sundaram Mutu Selva Annamalai, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper
2024 J jnl
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis.
J. Biomed. Informatics
Fabian Falck, Xuan Zhu, Sahra Ghalebikesabi, Matthias Kormaksson, Marc Vandemeulebroecke, Cong Zhang, Ruvie Martin, Stephen Gardiner, Chun Hei Kwok, Dominique M. West, Luis A. Santos, Chengeng Tian, Yu Pang, Aimee Readie, Gregory Ligozio, Kunal K. Gandhi, Thomas E. Nichols, Ann-Marie Mallon, Luke J. Kelly, David Ohlssen, George Nicholson
2024 J jnl
Air Gap: Protecting Privacy-Conscious Conversational Agents.
CoRR
Eugene Bagdasaryan, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage
2024 A* conf
AirGapAgent: Protecting Privacy-Conscious Conversational Agents.
CCS
Eugene Bagdasarian, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage
2024 J jnl
CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data.
CoRR
Zhao Cheng, Diane Wan, Matthew Abueg, Sahra Ghalebikesabi, Ren Yi, Eugene Bagdasarian, Borja Balle, Stefan Mellem, Shawn O'Banion
2024 J jnl
Explainable AI for survival analysis: a median-SHAP approach.
CoRR
Lucile Ter-Minassian, Sahra Ghalebikesabi, Karla Diaz-Ordaz, Chris C. Holmes
2024 J jnl
Operationalizing Contextual Integrity in Privacy-Conscious Assistants.
CoRR
Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle
2023 A* conf
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods.
NeurIPS
Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch
2023 J jnl
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods.
CoRR
Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch
2023 — conf
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.
MLHC
Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds
2023 J jnl
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.
CoRR
Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Max Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds
2023 J jnl
Differentially Private Diffusion Models Generate Useful Synthetic Images.
CoRR
Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
2023 A* conf
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling.
NeurIPS
Jack Jewson, Sahra Ghalebikesabi, Chris C. Holmes
2023 J jnl
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling.
CoRR
Jack Jewson, Sahra Ghalebikesabi, Chris C. Holmes
2023 — ed.
Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA.
ICBINB
Javier Antorán, Arno Blaas, Kelly Buchanan, Fan Feng, Vincent Fortuin, Sahra Ghalebikesabi, Andreas Kriegler, Ian Mason, David Rohde, Francisco J. R. Ruiz, Tobias Uelwer, Yubin Xie, Rui Yang
2023 A conf
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates.
UAI
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
2022 J jnl
Density Estimation with Autoregressive Bayesian Predictives.
CoRR
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
2022 A conf
Mitigating statistical bias within differentially private synthetic data.
UAI
Sahra Ghalebikesabi, Harry Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes
2022 — ed.
Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA
ICBINB
Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein
2021 J jnl
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale.
CoRR
Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes
2021 A conf
Deep Generative Missingness Pattern-Set Mixture Models.
AISTATS
Sahra Ghalebikesabi, Rob Cornish, Chris C. Holmes, Luke J. Kelly
2021 J jnl
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness.
CoRR
Sahra Ghalebikesabi, Rob Cornish, Luke J. Kelly, Chris C. Holmes
2021 A* conf
On Locality of Local Explanation Models.
NeurIPS
Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C. Holmes
2021 J jnl
On Locality of Local Explanation Models.
CoRR
Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla Diaz-Ordaz, Chris C. Holmes