2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2024
A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as Triggers
Shangxi Wu, Jitao Sang
In recent years, large language models (LLMs) have made significant progress in the field of code generation. However, as more and more users rely on these models for software deve…
cs.CL2023★ 2 cited
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Wenjun Peng, Jingwei Yi, Fangzhao Wu +7
Large language models (LLMs) have demonstrated powerful capabilities in both text understanding and generation. Companies have begun to offer Embedding as a Service (EaaS) based on…
cs.CV2019
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness
Jiaming Zhang, Jitao Sang, Kaiyuan Xu +4
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human. The most popular and practical Turing test is CAPTCHA, which is to disc…