Quick Load Info
Henil V. – Offensive Security Researcher
- Cloud & Web API Security
- Adversarial ML & Privacy
- Infrastructure Hardening
Links:
Education & Labs:
During my Masters, I performed hands-on exploits in educational in-house VMs and open-sourced labs:
Seed Security Labs
Lab reports & exploits:
Computer Security Reports
Adversarial ML & Privacy:
Experimented with frameworks like CleverHans on datasets such as FMNIST.
Explored privacy-preserving ML including Machine Unlearning & Differential Privacy:
ML Privacy & Security nb
Enhanced IDS/IPS signatures & explored fairness:
Algorithmic Fairness
IoT & Edge Security:
Formalized IoT attacks & security for edge sensors with MQTT protocols:
IoT Edge Sensors IDS
Web & Cloud Security:
Performed black-box offensive security testing on vehicle & fleet microservices, MQTT brokers, OTA servers, and cloud infra.
Threat modeling under ISO/SAE 21434 & R155/156. Automated security tests to enforce guardrails.
Current Research:
Pursuing PhD-level security research on system hardening & layered security approach to formalize asset-centric security gaps.
Building Digital Forensics & Incident Rich playbooks with strategic & operational security governance.