4 citations · 4 across the 7 of their papers we have counts for
11 papers
Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment
Krti Tallam, Emma Miller
CaMeL (Capabilities for Machine Learning) introduces a capability-based sandbox to mitigate prompt injection attacks in large language model (LLM) agents. While effective, CaMeL as…
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines
Krti Tallam
We present a robust neural watermarking framework for scientific data integrity, targeting high-dimensional fields common in climate modeling and fluid simulations. Using a convolu…
Removing Watermarks with Partial Regeneration using Semantic Information
Krti Tallam, John Kevin Cava, Caleb Geniesse +2
As AI-generated imagery becomes ubiquitous, invisible watermarks have emerged as a primary line of defense for copyright and provenance. The newest watermarking schemes embed seman…
Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
Krti Tallam
As AI models scale to billions of parameters and operate with increasing autonomy, ensuring their safe, reliable operation demands engineering-grade security and assurance framewor…
Security-First AI: Foundations for Robust and Trustworthy Systems
Krti Tallam
The conversation around artificial intelligence (AI) often focuses on safety, transparency, accountability, alignment, and responsibility. However, AI security (i.e., the safeguard…
From Autonomous Agents to Integrated Systems, A New Paradigm: Orchestrated Distributed Intelligence
Krti Tallam
The rapid evolution of artificial intelligence (AI) has ushered in a new era of integrated systems that merge computational prowess with human decision-making. In this paper, we in…