28 citations · 43 across the 8 of their papers we have counts for
8 papers
Embedding Poisoning: Bypassing Safety Alignment via Embedding Semantic Shift
Shuai Yuan, Zhibo Zhang, Yuxi Li +2
The widespread distribution of Large Language Models (LLMs) through public platforms like Hugging Face introduces significant security challenges. While these platforms perform bas…
Beyond the Scope: Security Testing of Permission Management in Team Workspace
Liuhuo Wan, Chuan Yan, Mark Huasong Meng +4
Nowadays team workspaces are widely adopted for multi-user collaboration and digital resource management. To further broaden real-world applications, mainstream team workspaces pla…
Tracking GPTs Third Party Service: Automation, Analysis, and Insights
Chuan Yan, Liuhuo Wan, Bowei Guan +3
ChatGPT has quickly advanced from simple natural language processing to tackling more sophisticated and specialized tasks. Drawing inspiration from the success of mobile app ecosys…
Assessing Privacy Compliance of Android Third-Party SDKs
Mark Huasong Meng, Chuan Yan, Qing Zhang +5
Third-party Software Development Kits (SDKs) are widely adopted in Android app development, to effortlessly accelerate development pipelines and enhance app functionality. However,…
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors
Baijun Cheng, Shengming Zhao, Kailong Wang +6
Vulnerability detectors based on deep learning (DL) models have proven their effectiveness in recent years. However, the shroud of opacity surrounding the decision-making process o…
MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack
Jiayi Hua, Kailong Wang, Meizhen Wang +3
Mobile malware has become one of the most critical security threats in the era of ubiquitous mobile computing. Despite the intensive efforts from security experts to counteract it,…
The Devil Behind the Mirror: Tracking the Campaigns of Cryptocurrency Abuses on the Dark Web
Pengcheng Xia, Zhou Yu, Kailong Wang +6
The dark web has emerged as the state-of-the-art solution for enhanced anonymity. Just like a double-edged sword, it also inadvertently becomes the safety net and breeding ground f…
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification
Zirui Gong, Liyue Shen, Yanjun Zhang +4
The collaborative nature of federated learning (FL) poses a major threat in the form of manipulation of local training data and local updates, known as the Byzantine poisoning atta…