3 papers
cs.CR2026
Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks
John T. Halloran, Noopur S. Bhatt
Large language models (LLMs) are highly susceptible to backdoor attacks (BAs), wherein training samples are poisoned using trigger-based harmful content. Furthermore, existing defe…
cs.CR2026
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
Adam Å torek, Mukur Gupta, Noopur Bhatt +4
AI coding assistants are widely used for tasks like code generation. These tools now require large and complex contexts, automatically sourced from various origins$\unicode{x2014}$…
cs.CL2025
CodeSCM: Causal Analysis for Multi-Modal Code Generation
Mukur Gupta, Noopur Bhatt, Suman Jana
In this paper, we propose CodeSCM, a Structural Causal Model (SCM) for analyzing multi-modal code generation using large language models (LLMs). By applying interventions to CodeSC…