1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning
Zhehua Zhong, Tianyi Chen, Zhen Wang
Fine-tuning large-scale pre-trained language models has been demonstrated effective for various natural language processing (NLP) tasks. Previous studies have established that inco…
cs.CV2022
Hiding Visual Information via Obfuscating Adversarial Perturbations
Zhigang Su, Dawei Zhou, Nannan Wangu +3
Growing leakage and misuse of visual information raise security and privacy concerns, which promotes the development of information protection. Existing adversarial perturbations-b…
cs.LG2020
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
Qi Zhou, Haipeng Chen, Yitao Zheng +1
As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range of tasks, including document understanding, information retrieval and peer…