Zander W. Blasingame
Ph.D. Candidate @ Clarkson University, Potsdam NY, USA
I am currently a Ph.D. student at Clarkson University studying guided generation and latent representations of generative models. Lately, I’ve been interested in stochastic processes, generative flows, score-based generative models, and numerical ODE/SDE solvers. Recent research has focused on bespoke ODE/SDE solvers for the gradients of diffusion models, greedy algorithms for guided generation, and guided generation for attacking Face Recognition (FR) systems. I work in the CAMEL group and I am advised by Dr. Chen Liu. Previously, I received my B.Sc. in Computer Engineering from Clarkson University in 2018.
All of Christ, for all of life.
In my free time I am an opposite hitter for the Clarkson Men’s Club Volleyball team. I also enjoy powerlifting and resistance training.
I am currently looking for research positions in industry/academia in generative modeling. Particularly in diffusion models or generative flows.
Latest News
Sep 25, 2024 | Our paper AdjointDEIS: Efficient Gradients for Diffusion Models was accepted in the main track @ NeurIPS 2024 |
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Sep 18, 2024 | Presented three of our papers @ IJCB 2024 |
Sep 16, 2024 | Our paper Towards Effective Machine Learning Models for Ransomware Detection via Low-Level Hardware Information was accepted @ HASP 2024 |
Aug 26, 2024 | Our IEEE TBIOM paper Leveraging Diffusion For Strong and High Quality Face Morphing Attacks was accepted into the journal track @ IJCB 2024 |
Aug 15, 2024 | I was accepted into the Doctoral Consortium at @ IJCB 2024 |
Latest Posts
Aug 27, 2024 | Face Morphing with Diffusion Models |
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