From the 9 of 215 papers with an AI index.
134 citations
- Peking UniversityCN97 papers
- University of Chinese Academy of SciencesCN97 papers
- Tsinghua UniversityCN93 papers
- Lanzhou UniversityCN82 papers
- University of ManchesterGB82 papers
- Ruhr University BochumDE81 papers
- Central China Normal UniversityCN80 papers
- Hunan UniversityCN80 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT80 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FerraraIT80 papers
- South China Normal UniversityCN80 papers
- University of OxfordGB80 papers
7 papers · 1 filter
Structural Leakage in Graph Encryption: Attacks and Defenses
Hua Shen, Renzhi Chen, Ge Wu +3
Graph encryption schemes (GES) enable secure outsourcing of graph data while supporting efficient queries. This report provides a comprehensive analysis of structural leakage in GE…
LLM agents security duality: a comprehensive survey of self-security and empowered cybersecurity
Yiwei Xu, Yong Zhuang, Xuanming Liu +6
Large language model (LLM) agents are rapidly being integrated into real-world systems. Their autonomy and tool-use capabilities generate substantial value while simultaneously exp…
BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning
Ziqing Yang, Rui Wen, Xinlei He +3
Prompt learning is a new machine learning paradigm that has attracted ample attention due to its simplicity and proven efficacy. Despite its growing adoption, the security vulnerab…
LLM Jailbreak Detection for (Almost) Free!
Guorui Chen, Yifan Xia, Xiaojun Jia +3
Large language models (LLMs) enhance security through alignment when widely used, but remain susceptible to jailbreak attacks capable of producing inappropriate content. Jailbreak…
Capacitive Touchscreens at Risk: Recovering Handwritten Trajectory on Smartphone via Electromagnetic Emanations
Yukun Cheng, Shiyu Zhu, Changhai Ou +3
This paper reveals and exploits a critical security vulnerability: the electromagnetic (EM) side channel of capacitive touchscreens leaks sufficient information to recover fine-gra…
Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis via Intermediate Representation and Language Model
Side Liu, Jiang Ming, Guodong Zhou +3
Malicious PDF files have emerged as a persistent threat and become a popular attack vector in web-based attacks. While machine learning-based PDF malware classifiers have shown pro…