4 citations · 6 across the 8 of their papers we have counts for
8 papers
AI Alignment through a Game-theoretic Lens: A Survey
Yanan Cai, Zhongrui Zhao, Zhigang Lu +6
As large language models and increasingly capable AI agents are deployed in high-risk settings, aligning them with complex human values has become a central challenge. Existing ali…
Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization
Yuefang Lian, Longkun Guo, Zhongrui Zhao +5
Trustworthy AI requires reliable data-processing pipelines, not only robust downstream predictive models. As an upstream component, data summarization determines which information…
AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents
Yutao Luo, Haotian Zhu, Shuchao Pang +4
The rapid adoption of mobile graphical user interface (GUI) agents, which autonomously control applications and operating systems (OS), exposes new system-level attack surfaces. Ex…
Reconstruction of Differentially Private Text Sanitization via Large Language Models
Shuchao Pang, Zhigang Lu, Haichen Wang +3
Differential privacy (DP) is the de facto privacy standard against privacy leakage attacks, including many recently discovered ones against large language models (LLMs). However, w…
Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge
Longkun Guo, Chaoqi Jia, Kewen Liao +2
Center-based clustering has attracted significant research interest from both theory and practice. In many practical applications, input data often contain background knowledge tha…
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense
Hua Ma, Shang Wang, Yansong Gao +7
All current backdoor attacks on deep learning (DL) models fall under the category of a vertical class backdoor (VCB) -- class-dependent. In VCB attacks, any sample from a class act…
DeepTheft: Stealing DNN Model Architectures through Power Side Channel
Yansong Gao, Huming Qiu, Zhi Zhang +6
Deep Neural Network (DNN) models are often deployed in resource-sharing clouds as Machine Learning as a Service (MLaaS) to provide inference services.To steal model architectures t…
VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints
Aoting Hu, Zhigang Lu, Renjie Xie +1
Deploying Machine Learning as a Service gives rise to model plagiarism, leading to copyright infringement. Ownership testing techniques are designed to identify model fingerprints…