16 citations · 48 across the 6 of their papers we have counts for
6 papers
Benchmarking the Benchmarks: Evaluating Automated Safety Benchmarks for Small Language Models
Nyamtulla Shaik, Fengjun Li, Bo Luo
Small Language Models (SLMs) are increasingly deployed in resource-constrained, privacy-sensitive settings, where safety and bias failures can cause security and societal risks. Ho…
On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing
Zeyan Liu, Zijun Yao, Fengjun Li +1
With ChatGPT under the spotlight, utilizing large language models (LLMs) to assist academic writing has drawn a significant amount of debate in the community. In this paper, we aim…
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Zeyan Liu, Fengjun Li, Jingqiang Lin +2
With the growing popularity of artificial intelligence and machine learning, a wide spectrum of attacks against deep learning models have been proposed in the literature. Both the…
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
Sohaib Kiani, Sana Awan, Chao Lan +2
In the evasion attacks against deep neural networks (DNN), the attacker generates adversarial instances that are visually indistinguishable from benign samples and sends them to th…
Cyber-Physical Systems Security -- A Survey
Abdulmalik Humayed, Jingqiang Lin, Fengjun Li +1
With the exponential growth of cyber-physical systems (CPS), new security challenges have emerged. Various vulnerabilities, threats, attacks, and controls have been introduced for…
Learning Social Circles in Ego Networks based on Multi-View Social Graphs
Chao Lan, Yuhao Yang, Xiaoli Li +2
In social network analysis, automatic social circle detection in ego-networks is becoming a fundamental and important task, with many potential applications such as user privacy pr…