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07/14/2023
Trading Off Voting Axioms for Privacy
In this paper, we investigate tradeoffs among differential privacy (DP) ...
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06/12/2023
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience
End-to-end training with global optimization have popularized graph neur...
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05/23/2023
Task Containerization and Container Placement Optimization for MEC: A Joint Communication and Computing Perspective
Containers are used by an increasing number of Internet service provider...
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01/17/2023
FedCliP: Federated Learning with Client Pruning
The prevalent communication efficient federated learning (FL) frameworks...
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01/08/2023
Accelerating Voting by Quantum Computation
Studying the computational complexity of determining winners under votin...
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12/14/2022
THMA: Tencent HD Map AI System for Creating HD Map Annotations
Nowadays, autonomous vehicle technology is becoming more and more mature...
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08/17/2022
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
Target-oriented Opinion Words Extraction (TOWE) is a fine-grained sentim...
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06/27/2022
Differentially Private Condorcet Voting
Designing private voting rules is an important and pressing problem for ...
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05/25/2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Logical table-to-text generation is a task that involves generating logi...
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03/25/2022
Semi-Supervised Formality Style Transfer with Consistency Training
Formality style transfer (FST) is a task that involves paraphrasing an i...
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02/15/2022
Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network
Entity-relation extraction aims to jointly solve named entity recognitio...
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12/17/2021
Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach
To develop driving automation technologies for human, a human-centered m...
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12/12/2021
Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation
Logical Natural Language Generation, i.e., generating textual descriptio...
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12/11/2021
Personalized Highway Pilot Assist Considering Leading Vehicle's Lateral Behaviours
Highway pilot assist has become the front line of competition in advance...
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07/21/2021
Truthful Information Elicitation from Hybrid Crowds
Suppose a decision maker wants to predict weather tomorrow by eliciting ...
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07/04/2021
Certifiably Robust Interpretation via Renyi Differential Privacy
Motivated by the recent discovery that the interpretation maps of CNNs c...
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07/04/2021
Smoothed Differential Privacy
Differential privacy (DP) is a widely-accepted and widely-applied notion...
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05/11/2021
The Smoothed Likelihood of Doctrinal Paradox
When aggregating logically interconnected judgments from n agents, the r...
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10/06/2020
Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework
A success factor for modern companies in the age of Digital Marketing is...
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05/06/2020
Anonymized GCN: A Novel Robust Graph Embedding Method via Hiding Node Position in Noise
Graph convolution network (GCN) have achieved state-of-the-art performan...
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04/12/2020
SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space
In the encrypted network traffic intrusion detection, deep learning base...
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04/15/2019
Differential Privacy for Eye-Tracking Data
As large eye-tracking datasets are created, data privacy is a pressing c...
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07/09/2018
Towards Non-Parametric Learning to Rank
This paper studies a stylized, yet natural, learning-to-rank problem and...
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05/15/2018
How Private Is Your Voting? A Framework for Comparing the Privacy of Voting Mechanisms
Voting privacy has received a lot of attention across several research c...
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11/18/2017
