Artificial Intelligence & Cybersecurity: Attack Techniques on Machine Learning Algorithms - Remote

Overview

This internship focuses on the intersection of artificial intelligence and cybersecurity, specifically on attack techniques against machine learning algorithms.

In Short

• Conduct research on adversarial attacks on malware recognition systems.
• Develop a proof of concept for adversarial attacks.
• Create benign executables from malware without altering their viral load.
• Formulate best practices against adversarial attacks.
• Analyze and compare different attack methods.
• Optimize the generator of adversarial malware.
• Study the performance of various defense methods.
• Work under the guidance of a consultant and manager.
• Engage in a stimulating and inclusive work environment.
• Contribute to impactful cybersecurity solutions.

Requirements

• Knowledge of artificial intelligence and machine learning.
• Understanding of cybersecurity principles.
• Experience with malware analysis.
• Ability to conduct comparative analysis.
• Skills in software development.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team.
• Interest in cybersecurity research.
• Proficiency in programming languages relevant to AI and ML.
• Willingness to learn and adapt to new challenges.

Benefits

• Opportunity to work in a leading consulting firm.
• Gain hands-on experience in AI and cybersecurity.
• Work in a supportive and inclusive environment.
• Access to expert guidance and mentorship.
• Contribute to meaningful projects with real-world impact.
• Networking opportunities within the industry.
• Potential for future employment opportunities.
• Flexible working arrangements.
• Participation in training and development programs.
• Engagement in a culture that values diversity and inclusion.