Parth Badgujar

Parth Badgujar

Core Member, DSG IIT Roorkee


Education

  • B.Tech, Electronics and Comminucation, IIT Roorkee (2022–2026)

Research Interests

  • Diffusion Models
  • Machine Learning Systems
  • Machine Learning Security
  • Generative Modelling

Projects

  • Diffusion Everything
    Developed visual demonstrations of diffusion processes using 2D/3D datasets and implemented DDPM/DDIM sampling techniques.
  • TransXGBoost
    Developed algorithm for low light image restoration using XGBoost for histogram transformation and Vision Transformer for furthur filtering.
  • Fast Diffusion
    Implemented caching techniques for faster inference in Diffusion Transformers

Publications

  • Singhal, S., Badgujar P., & Bhardwaj, D. (2025). One Noise to Fool Them All : Universal Adversarial Defenses Against Image Editing The 5th Workshop of Adversarial Machine Learning on Computer Vision: Foundation Models + X at CVPR 2025 (Co-Author)

GitHub | LinkedIn


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