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09/06/2023
Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study
Object tracking is an important functionality of edge video analytic sys...
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08/19/2023
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction
Predicting information cascade popularity is a fundamental problem in so...
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05/18/2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Studies in bias and fairness in natural language processing have primari...
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05/10/2023
Securing Distributed SGD against Gradient Leakage Threats
This paper presents a holistic approach to gradient leakage resilient di...
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03/29/2023
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
As various forms of fraud proliferate on Ethereum, it is imperative to s...
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03/21/2023
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
Federated Learning (FL) has been gaining popularity as a collaborative l...
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01/15/2023
EENet: Learning to Early Exit for Adaptive Inference
Budgeted adaptive inference with early exits is an emerging technique to...
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11/30/2022
Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning
Process mining is a methodology for the derivation and analysis of proce...
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11/28/2022
Metric Learning as a Service with Covariance Embedding
With the emergence of deep learning, metric learning has gained signific...
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10/24/2022
Selecting and Composing Learning Rate Policies for Deep Neural Networks
The choice of learning rate (LR) functions and policies has evolved from...
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10/18/2022
Embedded Silicon-Organic Integrated Neuromorphic System
The development of artificial intelligence (AI) and robotics are both ba...
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10/18/2022
The Brain-Inspired Cooperative Shared Control for Brain-Machine Interface
In the practical application of brain-machine interface technology, the ...
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08/29/2022
Lattice Codes for Lattice-Based PKE
The public key encryption (PKE) protocol in lattice-based cryptography (...
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12/25/2021
Gradient Leakage Attack Resilient Deep Learning
Gradient leakage attacks are considered one of the wickedest privacy thr...
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10/22/2021
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
This paper introduces a two-phase deep feature engineering framework for...
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10/14/2021
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Network representation learning (NRL) advances the conventional graph mi...
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08/09/2021
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
This paper presents a three-tier modality alignment approach to learning...
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08/02/2021
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
It is widely acknowledged that learning joint embeddings of recipes with...
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08/02/2021
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
This paper introduces a two-phase deep feature calibration framework for...
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07/27/2021
Parallel Detection for Efficient Video Analytics at the Edge
Deep Neural Network (DNN) trained object detectors are widely deployed i...
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07/08/2021
PNC Enabled IIoT: A General Framework for Channel-Coded Asymmetric Physical-Layer Network Coding
This paper investigates the application of physical-layer network coding...
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07/02/2021
Gradient-Leakage Resilient Federated Learning
Federated learning(FL) is an emerging distributed learning paradigm with...
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05/19/2021
Computational Morphology with Neural Network Approaches
Neural network approaches have been applied to computational morphology ...
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04/25/2021
RDMAbox : Optimizing RDMA for Memory Intensive Workloads
We present RDMAbox, a set of low level RDMA opti-mizations that provide ...
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04/13/2021
Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models
Deep learning sequence models have been successfully applied to the task...
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01/25/2021
Set Reconciliation for Blockchains with Slepian-Wolf Coding: Deletion Polar Codes
In this paper, we propose a polar coding based scheme for set reconcilia...
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10/20/2020
Promoting High Diversity Ensemble Learning with EnsembleBench
Ensemble learning is gaining renewed interests in recent years. This pap...
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09/14/2020
Robust Deep Learning Ensemble against Deception
Deep neural network (DNN) models are known to be vulnerable to malicious...
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09/14/2020
Utility-Optimized Synthesis of Differentially Private Location Traces
Differentially private location trace synthesis (DPLTS) has recently eme...
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08/03/2020
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads
Since very few contributions to the development of an unified memory orc...
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07/16/2020
Data Poisoning Attacks Against Federated Learning Systems
Federated learning (FL) is an emerging paradigm for distributed training...
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07/15/2020
Bitcoin Transaction Forecasting with Deep Network Representation Learning
Bitcoin and its decentralized computing paradigm for digital currency tr...
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07/11/2020
Understanding Object Detection Through An Adversarial Lens
Deep neural networks based object detection models have revolutionized c...
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06/05/2020
LDP-Fed: Federated Learning with Local Differential Privacy
This paper presents LDP-Fed, a novel federated learning system with a fo...
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04/22/2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Federated learning (FL) is an emerging distributed machine learning fram...
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04/09/2020
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
The rapid growth of real-time huge data capturing has pushed the deep le...
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11/21/2019
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability
Membership inference attacks seek to infer the membership of individual ...
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10/18/2019
DLB: Deep Learning Based Load Balancing
Load balancing mechanisms have been widely adopted by distributed platfo...
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10/09/2019
On adaptivity of wavelet thresholding estimators with negatively super-additive dependent noise
This paper considers the nonparametric regression model with negatively ...
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10/01/2019
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Deep neural network (DNN) has demonstrated its success in multiple domai...
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09/25/2019
Decentralized Trust Management: Risk Analysis and Trust Aggregation
Decentralized trust management is used as a referral benchmark for assis...
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08/29/2019
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
Ensemble learning is a methodology that integrates multiple DNN learners...
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08/23/2019
Delivering Scientific Influence Analysis as a Service on Research Grants Repository
Research grants have played an important role in seeding and promoting f...
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08/21/2019
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Deep neural networks (DNNs) have demonstrated impressive performance on ...
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08/18/2019
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Learning Rate (LR) is an important hyper-parameter to tune for effective...
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07/15/2019
Utility-aware and privacy-preserving mobile query services
Location-based queries enable fundamental services for mobile road netwo...
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07/15/2019
On the Polarization of Rényi Entropy
Existing polarization theories have mostly been concerned with Shannon's...
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07/08/2019
StackVault: Protection from Untrusted Functions
Data exfiltration attacks have led to huge data breaches. Recently, the ...
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05/15/2019
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy
Local Differential Privacy (LDP) is popularly used in practice for priva...
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04/03/2019