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07/07/2021
On Codomain Separability and Label Inference from (Noisy) Loss Functions
Machine learning classifiers rely on loss functions for performance eval...
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05/18/2021
Label Inference Attacks from Log-loss Scores
Log-loss (also known as cross-entropy loss) metric is ubiquitously used ...
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04/23/2021
On a Utilitarian Approach to Privacy Preserving Text Generation
Differentially-private mechanisms for text generation typically add care...
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12/10/2020
Research Challenges in Designing Differentially Private Text Generation Mechanisms
Accurately learning from user data while ensuring quantifiable privacy g...
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10/22/2020
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric
Balancing the privacy-utility tradeoff is a crucial requirement of many ...
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09/27/2020
Differentially Private Adversarial Robustness Through Randomized Perturbations
Deep Neural Networks, despite their great success in diverse domains, ar...
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09/17/2020
On Primes, Log-Loss Scores and (No) Privacy
Membership Inference Attacks exploit the vulnerabilities of exposing mod...
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05/26/2020
Latent-state models for precision medicine
Observational longitudinal studies are a common means to study treatment...
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02/01/2019
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection
In recent years, there have been many practical applications of anomaly ...
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12/04/2018
Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data
Wearable devices including accelerometers are increasingly being used to...
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04/26/2018
