Hello there! I'm Hamed, a fervent researcher and developer deeply interested in cybersecurity and privacy. Currently, I'm pouring my passion and expertise into LiboBerry, advancing cybersecurity and championing LLMs' privacy.
- 🍓 LiboBerry: As a co-founder, I'm at the forefront, driving cutting-edge research and development projects to bolster cybersecurity tools and methodologies. Visit LiboBerry
- 🔒 Privacy of LLMs: Delving deep into the nuances of LLM privacy, crafting solutions to shield user data, and upholding the sanctity of confidentiality.
- A Method and System for Adversarial Malware Threat Prevention and Adversarial Sample Generation: This invention offers a firewall to protect AI-based malware detection systems against adversarial attacks. It's a significant stride in the realm of cybersecurity, ensuring robust protection against evolving threats. US Patented
📌 Make your IoT environments robust against adversarial machine learning malware threats: a code-cave approach [NDSS2024]
📌 A two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks
📌 A deep recurrent neural network-based approach for Internet of Things malware threat hunting
📌 A survey on IoT security: Requirements, challenges, and solutions
📌 Two-tier network anomaly detection model: a machine learning approach
📌 Cryptocurrency malware hunting: A deep recurrent neural network approach
- IoT Malware Detection: A comprehensive dataset for opcode-based analysis of IoT malware. It includes various features for developing and testing malware detection algorithms. Access the Dataset
📄 Citation: Haddadpajouh, H., et al. "A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting" 2018. [Paper Link]
- 🛡 Griffinix: Spearheaded a turnkey Artificial Intelligence startup to fortify critical infrastructure. A triumphant exit!
- 📱 Appsaz: Donned the hat of a Product Manager/Owner, steering Appsaz - a versatile online mobile application generator system.
- 🎓 Google Scholar
- 📧 [hhaddadp [AT] uogeulph [DOT] com]