9 citations · 25 across the 25 of their papers we have counts for
5 papers · 1 filter
MEAOD: Model Extraction Attack against Object Detectors
Zeyu Li, Chenghui Shi, Yuwen Pu +4
The widespread use of deep learning technology across various industries has made deep neural network models highly valuable and, as a result, attractive targets for potential atta…
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention
Lujia Shen, Yuwen Pu, Shouling Ji +4
Transformer-based models, such as BERT and GPT, have been widely adopted in natural language processing (NLP) due to their exceptional performance. However, recent studies show the…
Facial Data Minimization: Shallow Model as Your Privacy Filter
Yuwen Pu, Jiahao Chen, Jiayu Pan +4
Face recognition service has been used in many fields and brings much convenience to people. However, once the user's facial data is transmitted to a service provider, the user wil…
UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware
Binbin Zhao, Shouling Ji, Xuhong Zhang +5
Nowadays, IoT devices integrate a wealth of third-party components (TPCs) in firmware to shorten the development cycle. TPCs usually have strict usage specifications, e.g., checkin…
TextDefense: Adversarial Text Detection based on Word Importance Entropy
Lujia Shen, Xuhong Zhang, Shouling Ji +4
Currently, natural language processing (NLP) models are wildly used in various scenarios. However, NLP models, like all deep models, are vulnerable to adversarially generated text.…