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University at Buffalo

UB Graduate Academic Schedule: Spring 2023


This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


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CSE 702SEM - Seminars
Lecture
Seminars HU Enrollment Information (not real time - data refreshed nightly)
Class #:   23015   Enrollment Capacity:   34
Section:   HU   Enrollment Total:   34
Credits:   1.00 - 3.00 credits   Seats Available:   0
Dates:   01/30/2023 - 05/12/2023   Status:   CLOSED
Days, Time:   R , 9:30 AM - 12:20 PM
Room:   Davis 113A view map
Location:   North Campus      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
Force Reg: Seats Reserved 34 0  
Comments
Machine Learning for Cybersecurity In this seminar class, we will discuss the use of machine learning, especially deep learning, for detecting and mitigating cyber threats arising in commercial systems and applications. We will also discuss security issues in machine learning (adversarial attacks and defenses on deep learning, backdoor attacks and defenses on deep learning, etc.). Our ability to identify the type of machine learning algorithms that are useful for specific security applications can help us improve our defenses against attacks such as credit card fraud, malware, and spam, and also anticipate the potential attack variants that may arise in the future. In addition to lectures, you¿ll participate in hands-on projects that will simulate a cyber threat and defense. You¿ll learn how to extract essential features, preprocess data and then identify a suitable suite of machine learning algorithms that can be used to detect and mitigate the cyber threat. Please use the force registration system (https://academics.eng.buffalo.edu/force-registration/request)
  Course Description
This course is a seminar. Seminar topics change every semester. Please refer to seminar instance topics and descriptions by semester
  Instructor(s)
             Hu look up    
  On-line Resources
Other Courses Taught By: Hu