Abanisenioluwa Orojo

Founder · PhD Researcher, Baylor University

la backdoor member

threat-detectionai-securitycyber-physical-systemsnlp-llmsdeep-learningnetwork-security

Abanisenioluwa Kolawole Orojo is a Computer Science PhD researcher at Baylor University (2023–2027) and the founder of la backdoor. His work centers on data-driven threat detection and resilience in cyber-physical systems, spanning cloud security, network-protocol security, security analytics, and AI security.

He earned his MS and BS in Computer Science at Webster University before beginning doctoral research under Pablo Rivas and Erika Leal. His publications apply machine learning and NLP/LLM techniques to security problems — from byte-level models for deep packet inspection to recurrent-network forecasting of software-vulnerability trends and secure social-media crowdsourcing.

Preprints

Autonomous System Vulnerability Remediation: A Survey of Agentic AI, Reinforcement Learning, Benchmarks, and Operational Safety
Abanisenioluwa Orojo, Webster Elumelu, Emmanuelli El-Mahmoud, Erika Leal · Preprint · under review (Int. Journal of Information Security)
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SysRepair-Bench: A Benchmark for AI Agents' Ability to Remediate Real-World System Vulnerabilities
Abanisenioluwa Orojo, Webster Elumelu, Emmanuelli El-Mahmoud, Erika Leal · Preprint · under review (NeurIPS 2026)
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SysRepair: A Benchmark and Multi-Architecture Approach to Autonomous Vulnerability Remediation
Abanisenioluwa Orojo, Webster Elumelu, Emmanuelli El-Mahmoud, Erika Leal · Preprint · under review (ACSAC 2026)
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Publications

Client-Side Video Analysis for Content Moderation with MoQ
A Freeman, J Bellert, A Orojo, G Speegle · Proceedings of the 5th Mile-High Video Conference, 93-99, 2026 (2026)
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An Evaluation of ABR Switching for Time-Shifted Clients in MoQ
A Orojo, T Redoy, S Afzal, AC Freeman · arXiv preprint arXiv:2606.26368, 2026 (2026)
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A Unified Framework Incorporating AW-TRBAC and Semantic Variational Autoencoders for Dynamic Threat Detection and Access Control
A Orojo, E El-Mahmoud, S Hutton, M Donahoo, WC Elumelu · International Conference on Artificial Intelligence 2025, 2025 (2025)
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ByteFlow: A Byte-Level LLM for Deep Packet Inspection and Network Intelligence
A Orojo, E El-Mahmoud, E Leal, P Rivas · 2025 Annual Computer Security Applications Conference Workshops (ACSAC …, 2025 (2025)
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Baylor Environmental AI Research System (BEARS): An Agentic AI Project to Combat Climate Change
A Orojo, B Khanal, E El-Mahmoud, J Yu, MB Rashid, P Quansah, ... · 27th International Conference on Artificial Intelligence 27, 2025 (2025)
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Assessing the Impact of Access Control Policies on Data Accessibility in Distributed NoSQL Environments
A Orojo, E El-Mahmoud, G Speegle · The Twenty Fourth International Conference on Security & Management 25, 2025 (2025)
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Predicting software vulnerability trends with multi-recurrent neural networks: a time series forecasting approach
AK Orojo, WC Elumelu, OO Orojo · Proceedings of the First International Conference on Natural Language …, 2024 (2024)
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Developing a Deep Learning Model for Detecting Cyber Attack
AK Orojo · (2023)
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Navigating the Digital Maze: Exploring the Intersection of Social Media, Privacy, and Security
A Orojo · Webster University, 2022 (2022)
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Autonomous System Vulnerability Remediation: A Survey of Agentic AI, Reinforcement Learning, Benchmarks, and Operational Safety
AK Orojo, WC Elumelu, E El-Mahmoud, E Leal · (n.d.)
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