orm
of genetic programming to evolve a program variant that retains re

quired
functionality but is not susceptible to the error. We use exist

ing test
suites to encode both the error and required functionality. T

he talk will
describe the algorithm and summarize experimental results
on 15 programs
totaling 1.2M lines of C code. If time permits, the t

alk will also describe
recent results combining the method with intrus

ion detection to form a
closed-loop repair system and extensions of th

e method to assembly code
programs.

Speaker Bio:

Stephanie Forrest is Professor and Chairman of the Computer Science
D

epartment at the University of New Mexico in Albuquerque. She is also an
External Professor of the Santa Fe institute and has served as its Vice<

br />President and a member of the Science Board. Her research studies adap

tive
systems, including immunology, evolutionary computation, biolo

gical
modeling, and computer security. Professor Forrest received M.S

. and Ph.D.
degrees in Computer and Communication Sciences from the Un

iversity of
Michigan (1982,1985) and a B.A. from St. John''s College

(1977). Before
joining UNM in 1990 she worked for Teknowledge Inc. and
was a Director''s
Fellow at the Center for Nonlinear Studies, Los Al