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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Computer Sciences
Semester:
2nd Semester
Teaching Languages:
English and Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Guy Katz
Coordinator Office Hours:
By appointment
Teaching Staff:
Prof Katz Guy
Course/Module description:
A seminar in which the students present papers that survey the field of formal verification of deep learning, including a survey of different verification methods based on constraint solving, abstract interpretation, complete and incomplete methods, etc.
Course/Module aims:
To understand advanced formal verification techniques for deep learning
Learning outcomes - On successful completion of this module, students should be able to:
Understand different methods for formal verification of deep learning, and their advantages and disadvantages
Attendance requirements(%):
80%
Teaching arrangement and method of instruction:
Lectures given by the lecturer and students
Course/Module Content:
Verification methods based on Satisfiability Modulo Theories solvers, linear programming solvers, Lipschitz constant, abstract interpretation, and approximations
Required Reading:
None
Additional Reading Material:
Grading Scheme :
Additional information:
The course may be given in English
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