Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jeffrey M. Rye"'
Publikováno v:
Proceedings of the First Workshop on Gender Bias in Natural Language Processing.
Modern models for common NLP tasks often employ machine learning techniques and train on journalistic, social media, or other culturally-derived text. These have recently been scrutinized for racial and gender biases, rooting from inherent bias in th
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 54:640-644
We previously developed a core representation for computationally comparing the information an operator needs to perform a task and the information provided by a user interface. This representation is based on information theoretic properties, thus i
Publikováno v:
Social Computing, Behavioral-Cultural Modeling and Prediction ISBN: 9783319055787
SBP
SBP
We describe the theory, implementation and initial validation of a tool to assess interpersonal relationships and team states through non-intrusive discourse analysis. ADMIRE was developed to assess power/leadership relationships through scoring poli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c39b9d8121561e286d24aae399184e44
https://doi.org/10.1007/978-3-319-05579-4_38
https://doi.org/10.1007/978-3-319-05579-4_38
Autor:
Michael J. S. Pelican, Scott E. Friedman, Tom Marble, Jeffrey M. Rye, Michael W. Boldt, David J. Musliner
Publikováno v:
SASO Workshops
FUZZBUSTER is a host-based adaptive security system that automatically discovers, refines, and repairs vulnerabilities in hosted applications in order to prevent cyber attacks. FUZZBUSTER must decide when to adapt its applications, when to revoke its
Publikováno v:
SASO
Modern cyber attackers use sophisticated, highly-automated vulnerability search and exploit development tools to find new ways to break into target computers. To protect against such threats, we are developing FUZZBUSTER, a host-based adaptive securi
Autor:
Aaron Paulos, Jeffrey M. Rye, Partha Pal, Scott E. Friedman, Brett Benyo, David J. Musliner, Richard Schantz, Tom Marble, Michael W. Boldt
Publikováno v:
SASO Workshops
This paper presents a recently achieved incremental milestone on the long path toward more intelligently adaptive, automated and self-managed computer systems. We demonstrate the feasibility of integrated cyber-defense connecting anomaly detection an
Publikováno v:
ASONAM
Long duration space flights such as a two and a half year mission to Mars present many unique challenges to the behavioral health of astronauts. Factors such as social monotony, workload, a confined environment, sensory deprivation, and limited acces
Publikováno v:
SASO
Today's computer systems are under relentless attack from cyber attackers armed with sophisticated vulnerability search and exploit development toolkits. Under DARPA's Clean-slate design of Resilient, Adaptive, Survivable Hosts (CRASH) program, we ar
Publikováno v:
SASO Workshops
Vulnerabilities in today's computer systems are relentlessly exploited by cyber attackers armed with sophisticated vulnerability search and exploit development toolkits. To protect against such threats, we are developing FUZZBUSTER, an automated syst
Autor:
David J. Musliner, Mark Burstein, Jeffrey M. Rye, Dan Thomsen, David McDonald, Paul Robertson
Publikováno v:
SASO Workshops
Today's computer systems are under relentless attack from cyber attackers armed with sophisticated vulnerability search and exploit development toolkits. To protect against such threats, we are developing FUZZBUSTER, an automated system that provides