Project for Students will guide you on the path to using machine learning to
✔ Classify and Detect Malware.
✔ Catch Network Intruders.
✔ Detect Insider Threats.
✔ Break CAPTCHAs.
✔ Construct an Evolutionary Fuzzer.
✔ Construct Adversarial Attacks on Deep Neural Networks.
✔ Impersonate Voice.
✔ Create DeepFakes.
✔ Generate Fake Reviews.
Looking to enter the profession but don’t know where to start? Projects for Students will help you on the path to ultimately becoming a badass hacker and security expert who knows how to use machine learning to break and secure systems.
In this one-of-its-kind workbook, you will be guided on interesting and fun projects that will allow you to display your skills and growing knowledge. The projects are purposefully designed to be at the perfect balance of challenge (i.e., a beginner can complete them with a bit of patience) and interest so that solving them is sure to impress hiring managers, employers and co-workers.
The course uses python and tensorflow for deep learning. It is hands on and each project is immersive several-week experience. Studentsexpected to get their hands dirty with malware, neural networks and DeepFakes!
– Students looking to learn the field of Cybersecurity Data Science
☐ Basic programming in python.
☐ Basic knowledge of data science.
Dr. Tsukerman graduated from Stanford University and UC Berkeley. His achievements include designing a machine-learning-based anti-ransomware product that won Top 10 Ransomware Products by PC Magazine as well as implementing a machine-learning-based malware detection system for Palo Alto Network’s WildFire service serving over 30,000 enterprise customers. Dr. Tsukerman is the author of the Machine Learning for Cybersecurity Cookbook, Cybersecurity Data Science and Machine Learning for Red Team Hackers Courses.