Chao Shen

Modeling interactive sensor-behavior with smartphones for implicit and active user authentication

2017

While the public enjoy the convenience aroused by the proliferation of the smartphones, they also face the risk of exposing their sensitive and secure information to attackers. Extant smartphone authentication methods (e.g., PIN and fingerprint) …

Performance evaluation of an anomaly-detection algorithm for keystroke-typing based insider detection

2018 · Tsinghua Science & Technology

Keystroke dynamics is the process to identify or authenticate individuals based on their typing rhythm behaviors. Several classifications have been proposed to verify a user's legitimacy, and the performances of these classifications should be confirmed …

Hand-Interactive Behavior Analysis for User Authentication Systems with Wrist-Worn Devices

2018

The growing trend of using wearable devices for context-aware computing and pervasive sensing systems has raised its potentials for quick and reliable authentication techniques. We collect users' writing actions with their wrist-worn devices and discover …

Universal Control of an Oscillator with Dispersive Coupling to a Qubit

2015 · arXiv (Cornell University)

We investigate quantum control of an oscillator mode off-resonantly coupled to an ancillary qubit. In the strong dispersive regime, we may drive the qubit conditioned on number states of the oscillator, which together with displacement …

Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations

2020 · arXiv (Cornell University)

Graph convolution network (GCN) attracts intensive research interest with broad applications. While existing work mainly focused on designing novel GCN architectures for better performance, few of them studied a practical yet challenging problem: How to …

AUTOTRAINER: An Automatic DNN Training Problem Detection and Repair System

2021

With machine learning models especially Deep Neural Network (DNN) models becoming an integral part of the new intelligent software, new tools to support their engineering process are in high demand. Existing DNN debugging tools are …

Unify Local and Global Information for Top-N Recommendation

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Knowledge graph (KG), integrating complex information and containing rich semantics, is widely considered as side information to enhance the recommendation systems. However, most of the existing KG-based methods concentrate on encoding the structural information in …

Hijacking Attacks against Neural Networks by Analyzing Training Data

2024 · arXiv (Cornell University)

Backdoors and adversarial examples are the two primary threats currently faced by deep neural networks (DNNs). Both attacks attempt to hijack the model behaviors with unintended outputs by introducing (small) perturbations to the inputs. Backdoor …

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning

2024 · arXiv (Cornell University)

As an emerging and vital topic for studying deep neural networks' vulnerability (DNNs), backdoor learning has attracted increasing interest in recent years, and many seminal backdoor attack and defense algorithms are being developed successively or …

Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code

2024 · IEEE Transactions on Information Forensics and Security

State-of-the-art source code classification models exhibit excellent task transferability, in which the source code encoders are first pre-trained on a source domain dataset in a self-supervised manner and then fine-tuned on a supervised downstream dataset. …

EvolGCN: A Co-Evolutionary Graph Convolutional Network Model for Dynamically Spatio-Temporal Anomaly Event Inference

2025 · IEEE Transactions on Dependable and Secure Computing

Accurately spatio-temporal anomaly event inference is significant to enhance society’s safety, such as crime prevention and traffic collision reduction, etc. However, it is hard to achieve good performance for its complicated process being influenced by …