DRISHTELab

Research

AI for Security

Using models to defend, and testing the models themselves.

Applying machine learning and language models to security problems, and studying the security of those models in turn — from adversarial robustness to LLM agents that carry out offensive and defensive tasks under human supervision.

Topics

  • LLM agents for security operations
  • Adversarial machine learning
  • Automated vulnerability assessment
  • Anomaly and intrusion detection

Publications

Talks & Events

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