5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks
Ziqiang Li, Yueqi Zeng, Pengfei Xia +3
With the burgeoning advancements in the field of natural language processing (NLP), the demand for training data has increased significantly. To save costs, it has become common fo…
cs.CR2023★ 1 cited
Efficient Trigger Word Insertion
Yueqi Zeng, Ziqiang Li, Pengfei Xia +2
With the boom in the natural language processing (NLP) field these years, backdoor attacks pose immense threats against deep neural network models. However, previous works hardly c…
cs.CR2023★ 5 cited
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks
Ziqiang Li, Pengfei Xia, Hong Sun +3
As the number of parameters in Deep Neural Networks (DNNs) scales, the thirst for training data also increases. To save costs, it has become common for users and enterprises to del…