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Found 14 papers, 2 papers with code
Private Everlasting Prediction
We observe that when answering a stream of queries, a predictor must modify the hypothesis it uses over time, and, furthermore, that it must use the queries for this modification, hence introducing potential privacy risks with respect to the queries themselves.
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models
The results illustrate that there is a utility-privacy tradeoff for sharing synthetic EHR data.
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database
We further show that the transfer learning approach based on the BAN produces models that are better than those trained on just a single institution's data.
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
Math Word Problem (MWP) solving needs to discover the quantitative relationships over natural language narratives.
Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse
However, traditional anomaly detection algorithms originally designed for anomaly detection in static data have not properly considered the inherent characteristics of data stream produced by wireless sensor such as infiniteness, correlations and concept drift, which may pose a considerable challenge on anomaly detection based on data stream, and lead to low detection accuracy and efficiency.
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge
Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains.
Two-stage Robust Energy Storage Planning with Probabilistic Guarantees: A Data-driven Approach
Furthermore, the column-and-constraint generation algorithm is used to solve the two-stage robust planning problem and tighten theoretical guarantees.
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model
We provide a lowerbound on the sample complexity of distribution-free parity learning in the realizable case in the shuffle model of differential privacy.
BART based semantic correction for Mandarin automatic speech recognition system
Although automatic speech recognition (ASR) systems achieved significantly improvements in recent years, spoken language recognition error occurs which can be easily spotted by human beings.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning
Developing the flocking behavior for a dynamic squad of fixed-wing UAVs is still a challenge due to kinematic complexity and environmental uncertainty.
Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones
This paper presents a time-efficient scheme for Mars exploration by the cooperation of multiple drones and a rover.
Generating Electronic Health Records with Multiple Data Types and Constraints
Sharing electronic health records (EHRs) on a large scale may lead to privacy intrusions.
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
We then use these in a double-oracle framework to obtain an approximate equilibrium of the game, which in turn yields a robust stochastic policy for the defender.
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing
For enhancing the privacy protections of databases, where the increasing amount of detailed personal data is stored and processed, multiple mechanisms have been developed, such as audit logging and alert triggers, which notify administrators about suspicious activities; however, the two main limitations in common are: 1) the volume of such alerts is often substantially greater than the capabilities of resource-constrained organizations, and 2) strategic attackers may disguise their actions or carefully choosing which records they touch, making incompetent the statistical detection models.
