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Spirit Distillation: Precise Real-time Prediction with Insufficient Data
Recent trend demonstrates the effectiveness of deep neural networks (DNN...
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HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing
Brain-inspired hyperdimensional computing (HDC) is an emerging computati...
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IntelliGen: Automatic Driver Synthesis for FuzzTesting
Fuzzing is a technique widely used in vulnerability detection. The proce...
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Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing
As an infrastructure for data persistence and analysis, Database Managem...
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Bayesian Optimization of Area-based Road Pricing
This study presents a Bayesian Optimization framework for area- and dist...
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Activation Map Adaptation for Effective Knowledge Distillation
Model compression becomes a recent trend due to the requirement of deplo...
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Managing network congestion with a tradable credit scheme: a trip-based MFD approach
This study investigates the efficiency and effectiveness of an area-base...
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Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport
As Public Transport (PT) becomes more dynamic and demand-responsive, it ...
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Robust Bayesian variable selection for gene-environment interactions
Gene-environment (G×E) interactions have important implications to eluci...
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End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
This paper presented a deep reinforcement learning method named Double D...
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Diffuse optical tomography by simulated annealing via a spin Hamiltonian
The inverse problem of diffuse optical tomography is solved by the Marko...
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RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems
While huge efforts have been investigated in the adversarial testing of ...
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Some New Classes of Entanglement-assisted Quantum MDS Codes from generalized Reed-Solomon Codes
In this paper, we produce some new classes of entanglement-assisted quan...
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GasFuzz: Generating High Gas Consumption Inputs to Avoid Out-of-Gas Vulnerability
The out-of-gas error occurs when smart contract programs are provided wi...
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Recovering the distribution of fluorophore for FDOT using cuboid approximation
The time-domain fluorescence diffuse optical tomography (FDOT) is theore...
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Semi-parametric Bayesian variable selection for gene-environment interactions
Many complex diseases are known to be affected by the interactions betwe...
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Towards VQA Models that can Read
Studies have shown that a dominant class of questions asked by visually ...
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EVMFuzz: Differential Fuzz Testing of Ethereum Virtual Machine
Ethereum Virtual Machine (EVM) is the run-time environment for smart con...
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Online Framework for Demand-Responsive Stochastic Route Optimization
This study develops an online predictive optimization framework for oper...
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LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics
Identifying potentially vulnerable locations in a code base is critical ...
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QuanFuzz: Fuzz Testing of Quantum Program
Nowadays, quantum program is widely used and quickly developed. However,...
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DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
Deep learning (DL) systems are increasingly applied to safety-critical d...
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Pythia v0.1: the Winning Entry to the VQA Challenge 2018
This document describes Pythia v0.1, the winning entry from Facebook AI ...
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EnFuzz: From Ensemble Learning to Ensemble Fuzzing
Fuzzing is widely used for software vulnerability detection. There are v...
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Towards Physiology-Aware DASH: Bandwidth-Compliant Prioritized Clinical Multimedia Communication in Ambulances
The ultimate objective of medical cyber-physical systems is to enhance t...
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