most citedMM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2026

ZoneClaw: Mitigating Persistent Memory Attacks by Establishing Memory-Zoning in OpenClaw-Style Computer-Use Agents

Haokai Ma, Chieh Lin, Yupeng Qiu +1

Computer-use agents increasingly operate as long-running assistants through persistent workspace memory, which OpenClaw-style CUAs realize as automatically reloaded files that hold…

cs.CR2026

SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents

Mengyao Du, Han Fang, Haokai Ma +4

Web agents have emerged as an effective paradigm for automating interactions with complex web environments, yet remain vulnerable to prompt injection attacks that embed malicious i…

cs.LG2026

Less Data Approximates More: Earning Faithful Confidence in High-Stakes Domains

Haokai Ma, Lee Yan Zhen, Gang Yang +4

Large language models are increasingly deployed in high-stakes domains, where confident yet incorrect inferences may cause severe real-world harm, bringing the long-overlooked issu…

cs.CR2026

TrapSuffix: Proactive Defense Against Adversarial Suffixes in Jailbreaking

Mengyao Du, Han Fang, Haokai Ma +4

Suffix-based jailbreak attacks append an adversarial suffix, i.e., a short token sequence, to steer aligned LLMs into unsafe outputs. Since suffixes are free-form text, they admit…

cs.CR2025★ 1 cited

MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models

Yongheng Zhang, Xinyun Zhao, Yunshan Ma +5

Cyber Threat Intelligence (CTI) parsing aims to extract key threat information from massive data, transform it into actionable intelligence, enhance threat detection and defense ef…

cs.CR2025

AttackSeqBench: Benchmarking the Capabilities of LLMs for Attack Sequences Understanding

Haokai Ma, Javier Yong, Yunshan Ma +4

Cyber Threat Intelligence (CTI) reports document observations of cyber threats, synthesizing evidence about adversaries' actions and intent into actionable knowledge that informs d…