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20232025
most citedAGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification

28 citations · 41 across the 7 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

cs.CR2025

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…

cs.CR2025

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…

cs.CR2025

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…

cs.CR20242 cited

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,…

cs.CR202410 cited

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…

cs.CR20241 cited

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,…