Idris Zakariyya

WORK HISTORY

EDUCATION

ABOUT IDRIS ZAKARIYYA

I am a cybersecurity researcher with a PhD and over 3 years of postdoctoral and academic experience in cyber threat analysis, privacy-preserving machine learning, and AI risk governance. My work bridges cutting-edge technical innovation with policy impact, focusing on adversarial threat detection, privacy attacks (e.g, membership inference), and secure AI deployment. Technical Expertise:* Developed privacy-preserving ML systems with up to 97% accuracy.* Hands-on with Burp Suite, Wireshark, ENCASE; proficient in Python, PyTorch, TensorFlow.* Specialized in differential privacy, federated learning, adversarial robustness, and LLM safety.* Skilled in MITRE ATT & CK, STRIDE, CTI, and advanced anonymization techniques. Leadership & Collaboration:* Project Lead at OpenMined | SPRITE+ ECR | Cybersecurity PhD Network Rep.* Organized and led three privacy-preservation workshops (2024–2025).* Collaborator with Academy of Medical Sciences, World Privacy Forum, and UK Home Office. Science Advisory Council (AI Pool of Experts). Community Engagement:* Presented at national and international forums, including invited cybersecurity talks at UK universities.* Reviewer for top-tier journals and conferences in cybersecurity and AI ethics.* Contributor to global discussions on LLM safety and responsible AI deployment.I’m passionate about building resilient, privacy-conscious AI systems and fostering cross-sector collaboration to address emerging cyber risks. Let’s connect if you’re working at the intersection of cybersecurity, AI, and policy.