DE
Unit: School of Engineering and Applied Science
Department: Department of Computer Science
Office location and address
85 Engineers Way
Charlottesville,
Virginia
22903
Publications
Sponsored Awards
supplement to SaTC CORE: Frontier: Collaborative: End-to-end Trustworthiness of Machine-Learning Systems_PSU
Source: Pennsylvania State University, The
October 01, 2018 – September 30, 2023
SaTC CORE: Frontier: Collaborative: End-to-end Trustworthiness of Machine-Learning Systems
Source: U.S. National Science Foundation (NSF)
October 01, 2018 – September 30, 2023
Cross-enclave Learning using Encrypted Aggregation Techniques (CLEAT)
Source: Lockheed Martin Corporation
June 01, 2021 – November 27, 2022
DCL: SaTC: Early-Stage Interdisciplinary Collaboration: Econometrically Inferring and Using Individual Privacy Preferences
Source: U.S. National Science Foundation (NSF)
June 01, 2019 – May 31, 2022
Robust and Resilient Deep Learning Systems
Source: Intel Corporation
December 01, 2017 – November 30, 2021
SaTC: CORE: Small: Multi-Party High-dimensional Machine Learning with Privacy
Source: U.S. National Science Foundation (NSF)
September 01, 2017 – August 31, 2021
Planning Grant: Engineering Research Center for Safety of Autonomous Systems
Source: Pennsylvania State University, The
September 01, 2019 – August 31, 2021
EN-CS-TWC: Small Automatic Techniques for Evaluating and Hardening Machine Leraning Classifiers in the Presence of Adversaries
Source: U.S. NSF - Directorate Computer & Info. Sciences
September 01, 2016 – August 31, 2019
EN-CS TWC: Small: Automated Security Testing for Applications Integrating Third-Party Services
Source: U.S. NSF - Directorate Computer & Info. Sciences
September 01, 2014 – August 31, 2019
TC: Large: Collaborative Research: Practical Secure Two-Party Computation: Techniques, Tools, and Applications
Source: U.S. NSF - Directorate Computer & Info. Sciences
August 15, 2011 – July 31, 2018
EN-CS EDU: Collaborative: PicoCTF 2014
Source: U.S. NSF - Directorate For Ed. & Human Resources
September 01, 2014 – August 31, 2017
EN-CS Designing for Measurable Security
Source: The Trustees of Columbia University in the City of
June 01, 2013 – May 31, 2017
EN-CS PI Meeting for Secure and Trustworthy Cyberspace
Source: U.S. NSF - Directorate Computer & Info. Sciences
May 01, 2014 – April 30, 2015
EN-CS Hardware, Languages, and Architectures for Defense Against Hostile Operating Systems
Source: University of California at Berkeley
August 01, 2009 – July 31, 2014
EN-CS CT-M: Implementable Privacy and Security for Resource-Constrained Devices
Source: U.S. NSF - Directorate Computer & Info. Sciences
September 01, 2008 – August 31, 2013
Courses
Credits: 1
Student led special topic courses which vary by semester.
Credits: 3
Introduces discrete mathematics and proof techniques involving first order predicate logic and induction. Application areas include finite and infinite sets, elementary combinatorial problems, and graph theory. Development of tools and mechanisms for reasoning about discrete problems. Prerequisite: CS 1110, 1111, 1112 or 1120 with a grade of C- or higher.
Credits: 3
Introduces computation theory including grammars, finite state machines, pushdown automata, and Turing machines. Prerequisites: CS 2102 or CS 2120, and CS 2110 or CS 2501 topic "DSA 2" or the CS 2110 placement test; both with grades of C- or higher.
Credits: 1–3
Content varies, depending on instructor interests and the needs of the Department. Taught strictly at the undergraduate level. Prerequisite: Instructor permission; additional specific requirements vary with topics.
Credits: 3
The Pavilion Seminars are open, by instructor permission, to 3rd and 4th year students. They are 3-credit, multidisciplinary seminars, focused on big topics and limited to max. 15 students each. For detailed descriptions of current offerings, see http://college.artsandsciences.virginia.edu/PAVS.
Credits: 1–3
Content varies annually, depending on instructor interests and the needs of the department. Similar to CS 5501 and CS 7501, but taught strictly at the undergraduate level. Prerequisite: Instructor permission; additional specific requirements vary with topics.
Credits: 1–4
New course in the subject of economics.
Credits: 3
This course will present a collection of topics from Economics and Computer Science that constitute the building blocks of modern user-facing electronic systems. Many examples will come from modern digital advertising platforms that have both created huge success in user reach and effectiveness for advertisers and, at the same time, have generated a trail of user privacy concerns. Prerequisites: ECON 3010 or 3110 and ECON 3720 or 4720.
Credits: 1–3
This course is one option in the CS fourth-year thesis track. Students will seek out a faculty member as an advisor, and do an independent project with said advisor. Instructors can give the 3 credits across multiple semesters, if desired. This course is designed for students who are doing research, and want to use that research for their senior thesis. Note that this track could also be an implementation project, including a group-based project. Prerequisite: CS 2150 with a grade of C- or higher
Credits: 1–3
In-depth study of a computer science or computer engineering problem by an individual student in close consultation with departmental faculty. The study is often either a thorough analysis of an abstract computer science problem or the design, implementation, and analysis of a computer system (software or hardware). Prerequisite: Instructor permission.
Credits: 3
Required for Distinguished Majors completing the Bachelor of Arts degree in the College of Arts and Sciences. An introduction to computer science research and the writing of a Distinguished Majors thesis. Prerequisites: CS 2150 with a grade of C- or higher and CS BA major status.
Credits: 3
Course content varies by section and is selected to fill timely and special interests and needs of students. See CS 7501 for example topics. May be repeated for credit when topic varies. Prerequisite: Instructor permission.
Credits: 1
A graduate student returning from Curricular Practical Training can use this course to claim one credit hour of academic credit after successfully reporting, orally and in writing, a summary of the CPT experience to his/her academic advisor.
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
Credits: 3
Formal record of student commitment to project research for the Master of Computer Science degree under the guidance of a faculty advisor.
Credits: 1–12
For master's students who are teaching assistants.
Credits: 1–12
Formal record of student commitment to thesis research for the Master of Science degree under the guidance of a faculty advisor. May be repeated as necessary.
Credits: 1–12
For doctoral students who are teaching assistants.
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.
Honors
ACM Conference on Computer and Communications Security PC Co-Chair 2017
Distinguished Research Award 2014
IEEE Technical Committee on Security and Privacy Award for Outstanding Community Service 2010
State Council of Higher Education for Virginia Outstanding Faculty Award 2009
Defense Science Study Group Fellow 2008–9
All-University Teaching Award 2008
Harold Morton Jr. Award for Teaching 2004
ACM Jefferson Undergraduate Teaching Award 2002
University Teaching Fellow 2001
National Science Foundation CAREER Award 2001