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20232026
most citedThe Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape

54 citations · 59 across the 7 of their papers we have counts for

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Showing 2026Show all

5 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

Privacy Leakage from a Thousand Words: Millipixel Location Recovery from Dot Maps

Yuntao Du, Tanishq Pauskar, Hao Wang +2

Dot maps, which visualize individual data points as dots over a geographic region, are widely used across diverse domains to represent spatial patterns in sensitive data. However,…

cs.CL2026

PII-TRACE: A Benchmark for Context-Aware PII Detection in Multi-Turn LLM Conversations

Kaiyuan Zhang, Chuan Wang, Joey Zhong +4

LLM assistants and agentic systems log long multi-turn conversations. AI providers often scan these conversations for Personally Identifiable Information (PII) and mask the PII bef…

cs.CL2026

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models

Yuetian Chen, Yuntao Du, Kaiyuan Zhang +4

Most membership inference attacks (MIAs) against Large Language Models (LLMs) rely on global signals, like average loss, to identify training data. This approach, however, dilutes…