Welcome to my webpage!

I am a Master’s graduate in Machine Learning at MBZUAI, advised by Prof. Mohsen Guizani and Dr. Nils Lukas. My research focuses on trustworthy ML: federated learning, adversarial robustness and agentic security.

Prior to this, I graduated from Indian Institute of Technology Hyderabad with a B.Tech in Mathematics & Computing and Engineering Sciences.

You can contact me at: ambrethanish[AT]gmail[DOT]com

Recent News

• Jun '26 : Our paper, Client-Level Defense Placement for Adversarially Robust Federated Reinforcement Learning , has been accepted at TMLR .
• Apr '26 : Our paper, Collaborative Threshold Watermarking , has been accepted at ICML 2026 .
• Jan '26 : Started as ML Quantitative Research Intern at Vatic Labs, UAE
• Jul '25 : Joined Standard Chartered Ventures , UAE as a ML Quantitative Research Intern

All previous updates here!