~/ahmet haşim yurttakal/academic-profile
Assoc. Prof. · COMPUTER ENGINEERING

Ahmet Haşim
Yurttakal

Cyber Security Researcher & AI Expert

I conduct research in the fields of artificial intelligence, deep learning, machine learning, cyber security, and critical infrastructure protection. I work at the Computer Engineering Department of Afyon Kocatepe University.

bash — ahyurttakal@aku.edu.tr
$ whoami
Ahmet Haşim Yurttakal · Assoc. Prof.

$ cat skill.txt
Artificial Intelligence Security
Adversarial Machine Learning
Network Anomaly Detection
Cryptography Systems

$ ls projects/
adversarial-ml/
zero-day-detector/
llm-security/

$

Focus and Areas of Interest

At the intersection of cybersecurity and artificial intelligence, advanced research is being conducted to protect critical systems.

🛡️
Artificial Intelligence Security

Research on hostile attacks against machine learning models, poisoning attacks, and protecting model confidentiality.

Adversarial ML Model Security Federated Learning
🔍
Anomaly & Attack Detection

Developing new methods for deep learning-based network traffic analysis and real-time detection of zero-day vulnerabilities.

IDS/IPS Zero-Day GAN
🔐
Cryptography & Privacy

Application of post-quantum cryptography protocols and differential privacy mechanisms to large-scale data systems.

Post-Quantum Diff. Privacy ZK Proofs
🤖
LLM Security

Analysis of prompt injection, jailbreak, and data leakage vulnerabilities in large language models and development of defense strategies.

Prompt Injection LLM Alignment Red Teaming
🏭
Industrial Safety

AI-powered threat modeling and critical infrastructure attack simulations in SCADA and ICS systems.

ICS/SCADA OT Security Digital Twin
🧬
Biometric Security

Deepfake detection, vulnerabilities in facial recognition systems, and multi-mode authentication protocols.

Deepfake Biometrics Liveness

Selected Publications

Outstanding publications in peer-reviewed journals and conferences.

2023
Reflection of people’s professions on social media platforms
Neural Computing and Applications
Q1
2023
A novel model based collaborative filtering recommender system via truncated ULV decomposition
Journal of King Saud University-Computer and Information Sciences
Q1
2020
K-nearest neighbour classifier usage for permission based malware detection in android
ICONTECH 2020
Conference
2022
Darknet Web Traffic Classification via Gradient Boosting Algorithm
International Journal of Engineering Research and Development
TR

Knowledge and Skills

Cyber SECURITY
Penetration Testing 95%
Network Security 92%
Cryptography 88%
Malware Analysis 85%
Reverse Engineering 78%
ARTIFICIAL INTELLIGENCE AND SOFTWARE
PyTorch / TensorFlow 96%
Python / C++ 94%
Federated Learning 90%
NLP / LLM Systems 87%
Cloud & DevSecOps 82%

Achievements

65
PUBLICATIONS
500
CITATIONS
12
h-INDEX
5
PROJECTS

Connect

For research collaborations, consulting, or academic inquiries, please contact me.