ECE 7970 Machine Learning in Cyber Security Chapter 0: Important - - PowerPoint PPT Presentation

ECE 7970 – Machine Learning in Cyber Security

• Dr. Mohamed Mahmoud
• Dr. Mostafa Fouda

Chapter 0: Important information

1 - Course I nform ation

I nstructors:

• Dr. Mohamed M. E. A. Mahmoud

Office: Brown Hall - 332 E-mail: mmahmoud@tntech.edu Homepage: http: / / www.cae.tntech.edu/ ~ mmahmoud/

• Dr. Mostafa M. Fouda

Office: Brown Hall - 331 E-mail: mfouda@tntech.edu Lectures: Mondays and Wednesdays, 4: 30 to 5: 50 in Brown 314

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https://www.cae.tntech.edu/~mmahmoud/teaching_files/grad/MLCybersecurity/MLCy bersecurity.html Course w ebsite

We strongly welcome feedback on how to improve teaching this course. Feel free to talk to me or email me.

2 - Feedback

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Do not hesitate to contact us if you have any question or problem

3 - Course Description

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Prerequisites:

• 1. Knowledge of linear algebra, probability, statistics and calculus.
• 2. Knowledge of basic programming skills.
• 3. Knowledge of machine learning concepts.
• 4. Knowledge of basic security concepts and cryptography primitives.

#3 was covered in CSC 6230: Machine Learning. We will make a revision on the parts of machine learning we need. #4 was covered in ECE 6900: Security and privacy preservation for wireless

• networks. We will make a revision on the parts of ECE 6900 we need.

Course Description:

• Advanced topics in securing machine learning models and their applications to

solve security/privacy threats.

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Course Topics:

• 1. Review to basic security concepts and cryptography primitives. 10%
• 2. Review to basic machine learning concepts. 15%

3.Attacks on machine learning models and countermeasures. 25% 4.Privacy-preserving evaluation of machine learning models. 15% 5.Using machine learning to launch attacks and counter security threats. 35%

Course Textbook

• No textbook is required.
• The lecture materials will be derived from

a number

• f

background papers and textbooks.

• Various reading material and research papers will be given.

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Course Evaluation

1 - Assignm ents, reports, answ ering questions, and presentations: 5 0 %

• f the final grade.

To be done individually. 2 - Project: literature survey report. To be done individually. 2 0 % of the final grade. 3 - Tests: 1 0 %

• f the final grade. OPEN book, notes, laptops,

etc. 4 - Final exam : The final examination will count for 2 0 %

• f

the final grade. OPEN book, notes, laptops, etc.

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Expectations

• The grade of the literature survey and reports is 7 0 % of the final

grade but that does not m ean you w ill get m ost of this grade even if you do poor w ork. W rong assum ption.

• Do the surveys and reports well and follow our guidelines.
• Do not assume that you will get A without enough work because

I’m your advisor. W rong assum ption.

• Class participation: Your input is needed for good discussion.
• Fully understand the slides, lectures, and assignments.
• Be on time (if you are late enter the class quiet).
• Focus in classes and take good notes.
• Do not be shy to seek help from the instructor if you need.

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• Slides are protected by a password.
• You do not need to type the password every time you open the files.
• You can cancel the password protection after you download and open

the files as follows

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Questions

Mohamed Mahmoud & Mostafa Fouda