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08/23/2023
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Differentially Private Federated Learning (DP-FL) has garnered attention...
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06/22/2023
DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum
Federated Learning (FL) allows multiple participating clients to train m...
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06/21/2023
Towards Mobility Data Science (Vision Paper)
Mobility data captures the locations of moving objects such as humans, a...
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04/11/2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Federated Learning, as a popular paradigm for collaborative training, is...
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03/22/2023
Wasserstein Adversarial Examples on Univariant Time Series Data
Adversarial examples are crafted by adding indistinguishable perturbatio...
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11/03/2022
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels
Deep learning models trained on large-scale data have achieved encouragi...
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10/10/2022
Towards Training Graph Neural Networks with Node-Level Differential Privacy
Graph Neural Networks (GNNs) have achieved great success in mining graph...
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09/29/2022
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response
Location-based services (LBS) have been significantly developed and wide...
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09/14/2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning
Automatic Speech Recognition models require large amount of speech data ...
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08/01/2022
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning
Tensor factorization has received increasing interest due to its intrins...
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12/05/2021
Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data
Mining user-generated content–e.g., for the early detection of outbreaks...
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10/22/2021
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
Federated Learning (FL) allows multiple participating clients to train m...
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09/03/2021
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks
Tensor factorization has been proved as an efficient unsupervised learni...
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08/22/2021
Temporal Network Embedding via Tensor Factorization
Representation learning on static graph-structured data has shown a sign...
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08/21/2021
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks
Adversarial data examples have drawn significant attention from the mach...
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08/21/2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Federated learning enables multiple clients, such as mobile phones and o...
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08/09/2021
Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks
Poisoning attacks are a category of adversarial machine learning threats...
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07/18/2021
RobustFed: A Truth Inference Approach for Robust Federated Learning
Federated learning is a prominent framework that enables clients (e.g., ...
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06/25/2021
Federated Graph Classification over Non-IID Graphs
Federated learning has emerged as an important paradigm for training mac...
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06/08/2021
PAM: Understanding Product Images in Cross Product Category Attribute Extraction
Understanding product attributes plays an important role in improving on...
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05/24/2021
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
We present an algorithm based on multi-layer transformers for identifyin...
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03/31/2021
CrowdTeacher: Robust Co-teaching with Noisy Answers Sample-specific Perturbations for Tabular Data
Samples with ground truth labels may not always be available in numerous...
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03/02/2021
Learning with Hyperspherical Uniformity
Due to the over-parameterization nature, neural networks are a powerful ...
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01/28/2021
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms
The increasing complexity of algorithms for analyzing medical data, incl...
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01/26/2021
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
Federated Learning is a promising machine learning paradigm when multipl...
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06/21/2020
Spatio-Temporal Tensor Sketching via Adaptive Sampling
Mining massive spatio-temporal data can help a variety of real-world app...
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05/04/2020
Customizable and Rigorous Location Privacy through Policy Graph
Location privacy has been extensively studied in the literature. However...
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05/01/2020
PANDA: Policy-aware Location Privacy for Epidemic Surveillance
In this demonstration, we present a privacy-preserving epidemic surveill...
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04/09/2020
Orthogonal Over-Parameterized Training
The inductive bias of a neural network is largely determined by the arch...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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11/28/2019
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility
Data collection under local differential privacy (LDP) has been mostly s...
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11/04/2019
Providing Input-Discriminative Protection for Local Differential Privacy
Local Differential Privacy (LDP) provides provable privacy protection fo...
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08/26/2019
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Tensor factorization has been demonstrated as an efficient approach for ...
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07/25/2019
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services
Location privacy-preserving mechanisms (LPPMs) have been extensively stu...
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07/17/2019
Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit
Background: Genomic data have been collected by different institutions a...
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06/14/2019
Eclipse: Generalizing kNN and Skyline
k nearest neighbor (kNN) queries and skyline queries are important opera...
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06/12/2019
Compressive Hyperspherical Energy Minimization
Recent work on minimum hyperspherical energy (MHE) has demonstrated its ...
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05/02/2019
Visually-aware Recommendation with Aesthetic Features
Visual information plays a critical role in human decision-making proces...
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05/02/2019
Efficient Contour Computation of Group-based Skyline
Skyline, aiming at finding a Pareto optimal subset of points in a multi-...
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12/04/2018
Skyline Diagram: Efficient Space Partitioning for Skyline Queries
Skyline queries are important in many application domains. In this paper...
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10/22/2018
PriSTE: From Location Privacy to Spatiotemporal Event Privacy
Location privacy-preserving mechanisms (LPPMs) have been extensively stu...
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09/16/2018
Aesthetic-based Clothing Recommendation
Recently, product images have gained increasing attention in clothing re...
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06/04/2018
Secure and Efficient Skyline Queries on Encrypted Data
Outsourcing data and computation to cloud server provides a cost-effecti...
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11/29/2017
Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations
Differential Privacy (DP) has received increasing attention as a rigorou...
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07/05/2017
