9 citations · 19 across the 19 of their papers we have counts for
9 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…
Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval
Zhe Ma, Jianfeng Dong, Shouling Ji +7
Visual retrieval aims to search for the most relevant visual items, e.g., images and videos, from a candidate gallery with a given query item. Accuracy and efficiency are two compe…
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…
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection
Yangkai Du, Tengfei Ma, Lingfei Wu +2
Code Clone Detection, which aims to retrieve functionally similar programs from large code bases, has been attracting increasing attention. Modern software often involves a diverse…
Exploring ChatGPT's Capabilities on Vulnerability Management
Peiyu Liu, Junming Liu, Lirong Fu +7
Recently, ChatGPT has attracted great attention from the code analysis domain. Prior works show that ChatGPT has the capabilities of processing foundational code analysis tasks, su…
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code
Tong Ye, Lingfei Wu, Tengfei Ma +5
Automatically generating function summaries for binaries is an extremely valuable but challenging task, since it involves translating the execution behavior and semantics of the lo…
Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
Yifan Xia, Ping He, Xuhong Zhang +3
The emergence of WebAssembly allows attackers to hide the malicious functionalities of JavaScript malware in cross-language interoperations, termed JavaScript-WebAssembly multiling…
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting
Ping He, Yifan Xia, Xuhong Zhang +1
The widespread adoption of the Android operating system has made malicious Android applications an appealing target for attackers. Machine learning-based (ML-based) Android malware…