Nathanael Teissier
6 papers · 2020–2022 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Keywords
differential privacy
(3)
log loss
(2)
metric learning
(1)
text generation
(1)
constrained optimization
(1)
bregman divergence
(1)
nearest neighbor
(1)
privacy preserving
(1)
linear programming
(1)
mahalanobis distance
(1)
exponential mechanism
(1)
binary classifier
(1)
label inference attack
(1)
privacy auditing
(1)
metric space
(1)
cross-entropy loss
(1)
information leakage
(1)
privacy leakage
(1)
membership inference
(1)
utility maximization
(1)
Papers
Balancing utility and scalability in metric differential privacy
UAI 2022
Reconstructing Test Labels from Noisy Loss Functions
AISTATS 2022
Label Inference Attacks from Log-loss Scores
ICML 2021
On a Utilitarian Approach to Privacy Preserving Text Generation
NAACL 2021
A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric
EMNLP 2020
On Log-Loss Scores and (No) Privacy
EMNLP 2020