Matthew Wright

Matthew Wright

Rochester Institute of Technology

H-index: 31

North America-United States

About Matthew Wright

Matthew Wright, With an exceptional h-index of 31 and a recent h-index of 24 (since 2020), a distinguished researcher at Rochester Institute of Technology, specializes in the field of Adversarial Machine Learning, Anonymous Communications, Usable Security and Privacy.

His recent articles reflect a diverse array of research interests and contributions to the field:

SoK: A critical evaluation of efficient website fingerprinting defenses

On the limitations of continual learning for malware classification

Evaluating robustness of sequence-based deepfake detector models by adversarial perturbation

DeepCoFFEA: Improved flow correlation attacks on Tor via metric learning and amplification

On improving the memorability of system-assigned recognition-based passwords

What a shame: Smart assistant voice command fingerprinting utilizing deep learning

A look into user privacy andthird-party applications in Facebook

A first look into users’ perceptions of facial recognition in the physical world

Matthew Wright Information

University

Position

Director of Research for the Global Cybersecurity Institute at

Citations(all)

5402

Citations(since 2020)

2319

Cited By

3734

hIndex(all)

31

hIndex(since 2020)

24

i10Index(all)

76

i10Index(since 2020)

46

Email

University Profile Page

Rochester Institute of Technology

Google Scholar

View Google Scholar Profile

Matthew Wright Skills & Research Interests

Adversarial Machine Learning

Anonymous Communications

Usable Security and Privacy

Top articles of Matthew Wright

Title

Journal

Author(s)

Publication Date

SoK: A critical evaluation of efficient website fingerprinting defenses

Nate Mathews

James K Holland

Se Eun Oh

Mohammad Saidur Rahman

Nicholas Hopper

...

2023/5/21

On the limitations of continual learning for malware classification

Mohammad Saidur Rahman

Scott Coull

Matthew Wright

2022/11/28

Evaluating robustness of sequence-based deepfake detector models by adversarial perturbation

Shaikh Akib Shahriyar

Matthew Wright

2022/5/30

DeepCoFFEA: Improved flow correlation attacks on Tor via metric learning and amplification

Se Eun Oh

Taiji Yang

Nate Mathews

James K Holland

Mohammad Saidur Rahman

...

2022/5/22

On improving the memorability of system-assigned recognition-based passwords

Behaviour & Information Technology

Mahdi Nasrullah Al-Ameen

Sonali T Marne

Kanis Fatema

Matthew Wright

Shannon Scielzo

2022/4/4

What a shame: Smart assistant voice command fingerprinting utilizing deep learning

Jack Hyland

Conrad Schneggenburger

Nick Lim

Jake Ruud

Nate Mathews

...

2021/11/15

A look into user privacy andthird-party applications in Facebook

Information & Computer Security

Sovantharith Seng

Mahdi Nasrullah Al-Ameen

Matthew Wright

2021/8/3

A first look into users’ perceptions of facial recognition in the physical world

Computers & Security

Sovantharith Seng

Mahdi Nasrullah Al-Ameen

Matthew Wright

2021/6/1

Locimotion: Towards learning a strong authentication secret in a single session

Jayesh Doolani

Matthew Wright

Rajesh Setty

SM Taiabul Haque

2021/5/6

GANDaLF: GAN for Data-Limited Fingerprinting.

Proceedings on Privacy Enhancing Technologies

Se Eun Oh

Nate Mathews

Mohammad Saidur Rahman

Matthew Wright

Nicholas Hopper

2021/1

Gradient Frequency Modulation for Visually Explaining Video Understanding Models

arXiv preprint arXiv:2111.01215

Xinmiao Lin

Wentao Bao

Matthew Wright

Yu Kong

2021/11/1

Leveraging edges and optical flow on faces for deepfake detection

Akash Chintha

Aishwarya Rao

Saniat Sohrawardi

Kartavya Bhatt

Matthew Wright

...

2020

Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks With Adversarial Traces

IEEE Transactions on Information Forensics and Security

Mohammad Saidur Rahman

Mohsen Imani

Nate Mathews

Matthew Wright

2020/11/20

Tik-Tok: The utility of packet timing in website fingerprinting attacks

Proceedings on Privacy Enhancing Technologies (PoPETs)

Mohammad Saidur Rahman

Payap Sirinam

Nate Mathews

Kantha Girish Gangadhara

Matthew Wright

2020

Detecting adversarial patches with class conditional reconstruction networks

arXiv preprint arXiv:2011.05850

Perry Deng

Mohammad Saidur Rahman

Matthew Wright

2020/11/11

Recurrent convolutional structures for audio spoof and video deepfake detection

IEEE Journal of Selected Topics in Signal Processing

Akash Chintha

Bao Thai

Saniat Javid Sohrawardi

Kartavya Bhatt

Andrea Hickerson

...

2020/6/1

Weaponizing unicodes with deep learning-identifying homoglyphs with weakly labeled data

Perry Deng

Cooper Linsky

Matthew Wright

2020/11/9

A Forensically Sound Method of Identifying Downloaders and Uploaders in Freenet

Brian N Levine

Marc Liberatore

Brian Lynn

Matthew Wright

2020/10/30

DeFaking Deepfakes: Understanding Journalists’ Needs for Deepfake Detection

Proceedings of the Computation+ Journalism 2020 Conference. Northeastern University

Saniat Javid Sohrawardi

Sovantharith Seng

Akash Chintha

Bao Thai

Andrea Hickerson

...

2020

They Might NOT Be Giants: Crafting Black-Box Adversarial Examples Using Particle Swarm Optimization

Rayan Mosli

Matthew Wright

Bo Yuan

Yin Pan

2020/9/14

See List of Professors in Matthew Wright University(Rochester Institute of Technology)

Co-Authors

H-index: 91
Michael Reiter

Michael Reiter

Duke University

H-index: 57
Brian Neil Levine

Brian Neil Levine

University of Massachusetts Amherst

H-index: 37
Claudia Diaz

Claudia Diaz

Katholieke Universiteit Leuven

H-index: 34
M. Kumar

M. Kumar

Rochester Institute of Technology

H-index: 32
Ray Ptucha

Ray Ptucha

Rochester Institute of Technology

H-index: 28
Clay Shields

Clay Shields

Georgetown University

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