CSCE 704: Data Analytics for Cybersecurity

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
• 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).
• 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
• 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

Outcomes (2025)

• The team (Mabon Ninan, Uros Stanic, Sandali Srivastava, Jess Cadena) contributed with two Wikipedia edits:
  • Concept Drift
  • ML-Based AVs