Foundation Models

Modern AI models that execute specific tasks in a single domain are giving way to ones that learn more generally, and work across domains and problems. Foundation models, which are trained on large, unlabeled datasets and fine-tuned for an array of applications, are driving this shift.

Overview

Our work

Projects

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Federated systems

  • Data and AI Security
  • Adversarial Robustness and Privacy
  • Foundation Models
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Foundation models for conversation

  • Conversational AI
  • Foundation Models
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Deep Scanner

A tale of adversarial attacks & out-of-distribution detection stories in the activation space
  • Adversarial Robustness and Privacy
  • Foundation Models
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Conversational intelligence

Exploring AI-based conversational systems in a human-centered approach
  • Conversational AI
  • Human-Centered AI
  • Natural Language Processing
  • Speech
  • Foundation Models

Publications

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