Muhammad Huzaifa

I am a doctoral researcher at the CISPA Helmholtz Center for Information Security , where I work closely with Thorsten Eisenhofer and Lea Schönherr . I am passionate about adversarial machine learning, with the goal of developing AI systems that extend human intelligence in a secure and privacy-preserving manner. My current research focuses on the safety and security of generative AI.

Prior to my current role, I completed my Master’s degree at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) under the supervision of Prof. Fahad Khan and Prof. Salman Khan . During this time, my research spanned multimodal representation learning, the robustness of vision models, and the adaptation of vision-language models to low-data settings, including few-shot and zero-shot scenarios. Before that, I earned my undergraduate degree in Electrical Engineering from NUST, Islamabad. Along the way, I also worked as a researcher at the Tübingen AI Center and MBZUAI .

I am always open to collaborations and discussions on research, security, privacy, or related topics. Feel free to email me.

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TC3DGS compresses dynamic 3D Gaussian representations using pruning, mixed-precision quantization, and trajectory interpolation, enabling efficient real-time applications.

SE-GS enhances novel view synthesis by reducing overfitting through uncertainty-aware perturbations and temporal regularization, outperforming existing methods.

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