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09/06/2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
Data is a critical asset in AI, as high-quality datasets can significant...
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07/19/2023
Efficient Non-Learning Similar Subtrajectory Search
Similar subtrajectory search is a finer-grained operator that can better...
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06/20/2023
Masked Diffusion Models are Fast Learners
Diffusion models have emerged as the de-facto technique for image genera...
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06/07/2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Offline reinforcement learning (RL) offers an appealing approach to real...
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05/07/2023
Fast Blind Recovery of Linear Block Codes over Noisy Channels
This paper addresses the blind recovery of the parity check matrix of an...
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04/06/2023
Towards an Effective and Efficient Transformer for Rain-by-snow Weather Removal
Rain-by-snow weather removal is a specialized task in weather-degraded i...
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04/05/2023
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information
Graph data is used in a wide range of applications, while analyzing grap...
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02/19/2023
Dynamic Private Task Assignment under Differential Privacy
Data collection is indispensable for spatial crowdsourcing services, suc...
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12/29/2022
Towards Comprehensively Understanding the Run-time Security of Programmable Logic Controllers: A 3-year Empirical Study
Programmable Logic Controllers (PLCs) are the core control devices in In...
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12/24/2022
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
One of the key challenges in deploying RL to real-world applications is ...
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11/17/2022
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data
Federated learning is a distributed learning that allows each client to ...
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09/22/2022
Online Ridesharing with Meeting Points [Technical Report]
Nowadays, ridesharing becomes a popular commuting mode. Dynamically arri...
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07/13/2022
Stability of Weighted Majority Voting under Estimated Weights
Weighted Majority Voting (WMV) is a well-known optimal decision rule for...
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07/01/2022
Discriminator-Guided Model-Based Offline Imitation Learning
Offline imitation learning (IL) is a powerful method to solve decision-m...
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05/25/2022
VeriFi: Towards Verifiable Federated Unlearning
Federated learning (FL) is a collaborative learning paradigm where parti...
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04/15/2022
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
This paper proposes a knowledge-and-data-driven graph neural network-bas...
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03/25/2022
Efficient k-clique Listing with Set Intersection Speedup [Technical Report]
Listing all k-cliques is a fundamental problem in graph mining, with app...
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02/08/2022
K-ST: A Formal Executable Semantics of PLC Structured Text Language
Programmable Logic Controllers (PLCs) are responsible for automating pro...
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01/10/2022
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
With the development of traffic prediction technology, spatiotemporal pr...
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12/14/2021
Better Pay Attention Whilst Fuzzing
Fuzzing is one of the prevailing methods for vulnerability detection. Ho...
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12/10/2021
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models
Deep learning (DL) models, especially those large-scale and high-perform...
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10/14/2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
For protecting users' private data, local differential privacy (LDP) has...
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08/20/2021
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server
In this paper, we study the privacy-preserving task assignment in spatia...
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08/11/2021
Semi-Supervised Domain Generalizable Person Re-Identification
Existing person re-identification (re-id) methods are stuck when deploye...
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08/09/2021
Dynamic Multi-Scale Loss Optimization for Object Detection
With the continuous improvement of the performance of object detectors v...
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07/19/2021
A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]
With the rapid development of smart mobile devices, the car-hailing plat...
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03/14/2021
CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner
Distributed deep learning workloads include throughput-intensive trainin...
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02/11/2021
RobOT: Robustness-Oriented Testing for Deep Learning Systems
Recently, there has been a significant growth of interest in applying so...
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12/16/2020
TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask)
Neural backdoors represent one primary threat to the security of deep le...
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12/16/2020
Research on Failure Characteristics of Circular Expansion Foundation of Large Wind Turbine
Wind power as clean energy has been widely promoted. However, during the...
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12/16/2020
Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach
Mobile-edge computing (MEC) offloads computational tasks from wireless d...
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10/05/2020
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers
A flurry of fuzzing tools (fuzzers) have been proposed in the literature...
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07/27/2020
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles
Envisioned as a promising component of the future wireless Internet-of-T...
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06/04/2020
FastReID: A Pytorch Toolbox for Real-world Person Re-identification
We present FastReID, as a widely used object re-identification (re-id) s...
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03/15/2020
CoinMagic: A Differential Privacy Framework for Ring Signature Schemes
By allowing users to obscure their transactions via including "mixins" (...
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02/24/2020
Wireless AI: Enabling an AI-Governed Data Life Cycle
Recent years have seen rapid deployment of mobile computing and Internet...
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02/17/2020
Simulating Performance of ML Systems with Offline Profiling
We advocate that simulation based on offline profiling is a promising ap...
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01/01/2020
Spectrum Intelligent Radio: Technology, Development, and Future Trends
The advent of Industry 4.0 with massive connectivity places significant ...
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12/20/2019
Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation
The growing momentum of instrumenting the Internet of Things (IoT) with ...
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12/04/2019
Reinforcement learning for bandwidth estimation and congestion control in real-time communications
Bandwidth estimation and congestion control for real-time communications...
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09/21/2019
Challenges of Privacy-Preserving Machine Learning in IoT
The Internet of Things (IoT) will be a main data generation infrastructu...
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07/30/2019
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
With the proliferation of training data, distributed machine learning (D...
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07/21/2019
A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels
Multi-parameter cognition in a cognitive radio network (CRN) provides a ...
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03/19/2019
BotGraph: Web Bot Detection Based on Sitemap
The web bots have been blamed for consuming large amount of Internet tra...
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03/17/2019
NetKernel: Making Network Stack Part of the Virtualized Infrastructure
This paper presents a system called NetKernel that decouples the network...
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02/19/2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
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09/10/2018
Mobile Collaborative Spectrum Sensing for Heterogeneous Networks: A Bayesian Machine Learning Approach
Spectrum sensing in a large-scale heterogeneous network is very challeng...
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08/30/2018
SonarSnoop: Active Acoustic Side-Channel Attacks
We report the first active acoustic side-channel attack. Speakers are us...
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08/16/2018
Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV
The ever-growing interest witnessed in the acquisition and development o...
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06/02/2018