Matthew Wright Headshot

Matthew Wright

Department Chair

Department of Cybersecurity
Golisano College of Computing and Information Sciences
matthew.wright@rit.edu
585-475-5432
Office Location
GOL-3783
Office Mailing Address
100 Lomb Memorial Drive Rochester, NY 14623 70-1781

Matthew Wright

Department Chair

Department of Cybersecurity
Golisano College of Computing and Information Sciences

Education

BS, Harvey Mudd College; MS, Ph.D., University of Massachusetts at Amherst

Bio

Matt Wright is Chair and Professor of Cybersecurity. He graduated with his PhD from the Department of Computer Science at the University of Massachusetts in May, 2005, where he earned his MS in 2002. His dissertation work examined attacks and defenses of systems that provide anonymity online. His other interests include adversarial machine learning and understanding the human element of security. Previously, he earned his BS degree in Computer Science at Harvey Mudd College. He has been the lead investigator on over $2.9 million in externally funded projects, including an NSF CAREER award, and he has published over 100 peer-reviewed papers, including numerous contributions in the most prestigious venues focused on computer security and privacy. Learn more: https://sites.google.com/site/matthewkwright/

matthew.wright@rit.edu
585-475-5432
Personal Links
Personal Website
Google Scholar
Twitter
LinkedIn
Areas of Expertise
Security and Privacy
Adversarial Machine Learning
Deepfake Detection
Cyber Analytics
Usable Security

Currently Teaching

CSEC-559
UG Sem in Computing Security
0 - 3 Credits
This course explores current topics in computing security. It is intended as a place holder course for faculty to experiment new course offerings in Computing Security undergraduate program. Course specific details change with respect to each specific focal area proposed by faculty.
CSEC-659
Seminar in Computing Security
3 Credits
This course offers an opportunity to learn about a specific seminar topic in more depth. The course description will be replaced by the specific instance of the seminar, as it is proposed by faculty.
CSEC-720
Deep Learning Security
3 Credits
This course covers the intersection of cybersecurity and deep learning technologies such as CNNs, LSTMs, and GANs. Topics include the application of deep learning to traffic analysis, Deepfake detection, malware classification, fooling deep learning classifiers with adversarial examples, network attack prediction and modeling, poisoning attacks, and privacy attacks like model inversion and membership inference. Students will present research papers, perform several exercises to apply attack and defense techniques, and complete a final research project. Prior experience with machine learning concepts and implementation is required, but necessary details on deep learning will be covered.
CSEC-799
Independent Study
1 - 3 Credits
The graduate independent study offers students the opportunity to investigate a topic not covered in an available course in the MS program in conjunction with a faculty sponsor. Working cooperatively, the faculty sponsor and the student draft a proposal of the work to be completed, the deliverables expected from the student, the number of credits assigned, and the means by which the student’s work will be evaluated. The proposal must be approved by the graduate program director before a student can be registered for independent study.

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