CSCE 704: Data Analytics for Cybersecurity
Regular Grad Course, TAMU, 2024
I will teach my cybersecurity course under the data science umbrella this Fall. Please, enroll into CSCE 704-602. My approach will be similar to what I did in previous semesters. Take a look here
We added a few new topics this semester, as follows:
- Topic 1.2 Humans vs. Machines in Malware Classification
- Concepts:
- Malware definitions.
- Maliciousness vs. Behaviors.
- Explainability and Feature Selection.
- Obfuscation and PE resources.
- Outcomes (2024):
- The student Mahbub Alam created a blog on ML for security. Check it here
- Concepts:
- Topic 4.4 Adversarial Training for Raw-Binary Malware Classifiers and Moving Target Defense against Adversarial Machine Learning
- Concepts:
- Adversarial Retraining.
- Moving Target Defenses (MTD).
- Concepts:
- Topic 5.5 GPThreats-3: Is Automatic Malware Generation a Threat?
- Concepts:
- Divide-and-Conquer and Malware Building Blocks.
- Prompt Engineering and Jailbreaking.
- Efficiency vs. Effectiveness.
- Server-side polymorphism.
- Attack-as-a-Service
- Concepts:
- Topic 7.1 Lookin’ Out My Backdoor! Investigating Backdooring Attacks Against DL-driven Malware Detectors
- Concepts:
- Backdoor: Poisoning and Label-Flipping.
- Spaces: Feature, Problem, and Latent Spaces.
- STRIP Defense.
- Topic 7.2 Machine Unlearning
- Concaepts:
- GDPR
- Machine Unlearning
- Backdoor Purification
- Access Control
- K-anonymization
- Concaepts: