◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Kaiyuan Zhang

9 papers hereh-index 330 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.LG3
  • cs.CL2
same name
  • Kaiyuan Zhang — 18 papers, h 15
  • Kaiyuan Zhang — 11 papers, h 4
  • Kaiyuan Zhang — 10 papers, h 2
  • Kaiyuan Zhang — 4 papers, h 3
  • Kaiyuan Zhang — 3 papers, h 11
  • Kaiyuan Zhang — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedBrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

RATION: Towards Quantitative Risk-Based Access Control for AI Agents

Yuntao Du, Harsh Chaudhari, Yuetian Chen +8

AI agents increasingly interact with external environments to complete complex user tasks. These interactions can lead to unexpected behavior and expose agents to security threats…

cs.CR2026

BrowseSafe++: Benchmarking Prompt Injection Detection Across Web Contexts, Languages, and Browser Views

Yuetian Chen, Kaiyuan Zhang, Yuntao Du +6

Browser agents need to make decisions and execute actions on behalf of users while consuming untrusted webpages, creating opportunities for malicious instructions embedded in webpa…

cs.CR2026

ActGov: Governing LLM Agent Actions via Policy-Constrained Validation

Kaiyuan Zhang, Yuke Peng, Ke Jiang +1

Large language model (LLM) agents increasingly execute long-horizon workflows through external tools, allowing untrusted outputs to influence subsequent actions and exceed user aut…

cs.CR2025

Cascading and Proxy Membership Inference Attacks

Yuntao Du, Jiacheng Li, Yuetian Chen +5

A Membership Inference Attack (MIA) assesses how much a trained machine learning model reveals about its training data by determining whether specific query instances were included…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.