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20182026
most citedEthical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment

7 citations · 32 across the 25 of their papers we have counts for

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Showing cs.CRShow all

12 papers · 1 filter

cs.CR2026

A Non-Line-of-Sight, Multi-Modality-based Side-Channel IP Theft Attack on Additive Manufacturing Using Dual Smartphones

Amirhossein Jamarani, Diba Afroze, Yazhou Tu +2

Additive Manufacturing (AM) has revolutionized major sectors, including aerospace, automotive, and healthcare, by enabling adjustable production. As the usage of AM increases, so d…

cs.CR2026

When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks

Ziwen Cai, Yihe Zhang, Xiali Hei

Since the official release of ChatGPT in 2022, large language models (LLMs) have rapidly evolved from chatbot-style interfaces into agentic systems that can delegate work through t…

cs.CR2026

ThermoCAPTCHA: Privacy-Preserving Human Verification with Farm-Resistant Traceable Tokens

Shovon Paul, Md Imran Hossen, Xiali Hei

CAPTCHAs remain a critical defense against automated abuse, yet modern systems suffer from well-known limitations in usability, accessibility, and resistance to increasingly capabl…

cs.CR2024★ 1 cited

Practitioner Paper: Decoding Intellectual Property: Acoustic and Magnetic Side-channel Attack on a 3D Printer

Amirhossein Jamarani, Yazhou Tu, Xiali Hei

The widespread accessibility and ease of use of additive manufacturing (AM), widely recognized as 3D printing, has put Intellectual Property (IP) at great risk of theft. As 3D prin…

cs.CR2024★ 3 cited

Double Backdoored: Converting Code Large Language Model Backdoors to Traditional Malware via Adversarial Instruction Tuning Attacks

Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan +3

Instruction-tuned Large Language Models designed for coding tasks are increasingly employed as AI coding assistants. However, the cybersecurity vulnerabilities and implications ari…

cs.CR2022

XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning

Jianyi Zhang, Fangjiao Zhang, Qichao Jin +3

Federated Learning (FL) has received increasing attention due to its privacy protection capability. However, the base algorithm FedAvg is vulnerable when it suffers from so-called…