I am an AI Security Researcher, currently working on implementations of ML in offensive and defensive security products.
I have orchestrated methodologies to pen-test Machine Learning applications against ML-specific vulnerabilities and loves to explore new ways to hack ML-powered applications. My research is focused on security implications in Deep Learning applications such as Adversarial Learning, Model stealing attacks, Data poisoning, etc.
Invited speaker and trainer at multiple security conferences, private and govt organizations.
Contacts
- [email protected]
- github.com/adversarial-nik
- x.com/adversarial_nik
- in.linkedin.com/in/adversarial-nik