Agam Pandey

Agam Pandey

Joint Secretary, DSG IIT Roorkee


Education

  • B.Tech, Civil Engineering, IIT Roorkee (2022–2026)

Research Interests

  • Multimodal Models
  • Adversarial ML
  • Causal Reasoning in VLMs
  • Graph Neural Networks
  • Multi Agent systems
  • Computer Vision for Autonomous vehicles
  • RAG, Knowledge Graphs for V/LLMs

Publications

  • MLRC 2025 [Best Paper Award], TMLR: A. Mittal, A., Pandey, A., Tiwari, A., Jindal, S., Swain, S., (2025). Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in VLMs.
  • NeurIPS Reliable ML Workshop: A., Pandey, A.Mittal, A., Tiwari, A., Jindal, S., Swain, S.,, CroPA++: Exposing Vulnerabilities in Vision Language Models and Enhancing Adversarial Transferability of Cross-Prompt Attacks
  • AAAI 2026 SAPP: TransPatch: Learning a Universal Adversarial Patch for ViT–CNN Cross-Architecture Transfer in Semantic Segmentation (Student Abstract) A.Pandey, S. Goyal, A. Tomar, A. Aggarwal, A. Tiwari.
  • AAAI 2026 SAPP: Zero-Shot Vision Language Reasoning via Dual-layer Scene Graph Chain of Thoughts (Student Abstract), A. Pandey, P. Kapoor, Y. Bansal

Projects

  • Knowledge Graph Embeddings for VLMs
    Analysed impact of vector and graph embeddings on retrieval generation of VLMs on downstream tasks.
  • FeedCode
    FeedCode is an intelligent feedback tool that provides personalized code reviews based on your coding style and activity.

Follow

Portfolio | GitHub | LinkedIn

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