collaborators

5 papers

cs.AI2026

GIF: Locally Sound Geometric Information Flow Control for LLMs

Adam Storek, Nikolaus Holzer, Zhuo Zhang +1

Large language models increasingly mediate interactions between sensitive data, untrusted inputs, and privileged actions in agentic systems, creating security and privacy risks. Th…

cs.AI2026

Cross-Model Disagreement as a Label-Free Correctness Signal

Matt Gorbett, Suman Jana

Detecting when a language model is wrong without ground truth labels is a fundamental challenge for safe deployment. Existing approaches rely on a model's own uncertainty -- such a…

cs.CR2026

zkFuzz: Foundation and Framework for Effective Fuzzing of Zero-Knowledge Circuits

Hideaki Takahashi, Jihwan Kim, Suman Jana +1

Zero-knowledge (ZK) circuits enable privacy-preserving computations and are central to many cryptographic protocols. Systems like Circom simplify ZK development by combining witnes…

cs.PL2026

EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback

Samira Hajizadeh, Suman Jana

Large language models (LLMs) often generate code that is functionally correct but inefficient in runtime and memory. Prior approaches to improving code efficiency typically rely on…

cs.SE2025

Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities

Simin Chen, Yixin He, Suman Jana +1

LLM-based agents are increasingly deployed for software maintenance tasks such as automated program repair (APR). APR agents automatically fetch GitHub issues and use backend LLMs…