activity
20242026
most citedDemo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.IR2026

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Riley Grossman, Songjiang Liu, Michael K. Chen +3

Generative AI is being increasingly integrated into web search for the convenience it provides users. In this work, we aim to understand how generative AI disrupts web search by re…

cs.SE2026

Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics

Khang Tran, Khoa Nguyen, Cristian Borcea +1

Recent advances in large language models for test case generation have improved branch coverage via prompt-engineered mutations. However, they still lack principled mechanisms for…

cs.CR2026

AdFL: In-Browser Federated Learning for Online Advertisement

Ahmad Alemari, Pritam Sen, Cristian Borcea

Since most countries are coming up with online privacy regulations, such as GDPR in the EU, online publishers need to find a balance between revenue from targeted advertisement and…

cs.CR2026

NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs

Khoa Nguyen, Khiem Ton, NhatHai Phan +6

Although boosting software development performance, large language model (LLM)-powered code generation introduces intellectual property and data security risks rooted in the fact t…

cs.CY2026

Inconsistencies in Classification of Online News Articles: A Call for Common Standards in Brand Safety Services

Michael Smith, Riley Grossman, Antonio Torres-Aguero +3

This study examines inconsistencies in the brand safety classifications of online news articles by analyzing ratings from three leading brand safety providers, DoubleVerify, Integr…