
The QuenchingActivation Behavior of the Gradient Descent Dynamics for Twolayer Neural Network Models
A numerical and phenomenological study of the gradient descent (GD) algo...
read it

DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts
Cryptocurrency has seen an explosive growth in recent years, thanks to t...
read it

Beyond the Virus: A First Look at Coronavirusthemed Mobile Malware
As the COVID19 pandemic emerges in early 2020, a number of campaigns ha...
read it

EthScope: A Transactioncentric Security Analytics Framework to Detect Malicious Smart Contracts on Ethereum
As one of the representative blockchain platforms, Ethereum has attracte...
read it

Characterizing Cryptocurrency Exchange Scams
As the indispensable trading platforms of the ecosystem, hundreds of cry...
read it

Security Analysis of EOSIO Smart Contracts
The EOSIO blockchain, one of the representative Delegated ProofofStake...
read it

Machine learning based nonNewtonian fluid model with molecular fidelity
We introduce a machinelearningbased framework for constructing continu...
read it

Characterizing EOSIO Blockchain
EOSIO has become one of the most popular blockchain platforms since its ...
read it

Machine Learning from a Continuous Viewpoint
We present a continuous formulation of machine learning, as a problem in...
read it

On the Generalization Properties of Minimumnorm Solutions for Overparameterized Neural Network Models
We study the generalization properties of minimumnorm solutions for thr...
read it

Global Convergence of Gradient Descent for Deep Linear Residual Networks
We analyze the global convergence of gradient descent for deep linear re...
read it

Automated Deobfuscation of Android Native Binary Code
With the popularity of Android apps, different techniques have been prop...
read it

EVulHunter: Detecting Fake Transfer Vulnerabilities for EOSIO's Smart Contracts at Webassemblylevel
As one of the representative Delegated ProofofStake (DPoS) blockchain ...
read it

Barron Spaces and the Compositional Function Spaces for Neural Network Models
One of the key issues in the analysis of machine learning models is to i...
read it

Characterizing Code Clones in the Ethereum Smart Contract Ecosystem
In this paper, we present the first largescale and systematic study to ...
read it

Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skipconnections
The behavior of the gradient descent (GD) algorithm is analyzed for a de...
read it

A Comparative Analysis of the Optimization and Generalization Property of Twolayer Neural Network and Random Feature Models Under Gradient Descent Dynamics
A fairly comprehensive analysis is presented for the gradient descent dy...
read it

A Priori Estimates of the Generalization Error for Twolayer Neural Networks
New estimates for the generalization error are established for the twol...
read it

The Regularization Effects of Anisotropic Noise in Stochastic Gradient Descent
Understanding the generalization of deep learning has raised lots of con...
read it

Understanding and Enhancing the Transferability of Adversarial Examples
Stateoftheart deep neural networks are known to be vulnerable to adve...
read it

Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
It is widely observed that deep learning models with learned parameters ...
read it
Lei Wu
is this you? claim profile