7 citations · 9 across the 7 of their papers we have counts for
7 papers
Understanding Police Force Resource Allocation using Adversarial Optimal Transport with Incomplete Information
Yinan Hu, Juntao Chen, Quanyan Zhu
Adversarial optimal transport has been proven useful as a mathematical formulation to model resource allocation problems to maximize the efficiency of transportation with an advers…
Game of Travesty: Decoy-based Psychological Cyber Deception for Proactive Human Agents
Yinan Hu, Quanyan Zhu
The concept of cyber deception has been receiving emerging attention. The development of cyber defensive deception techniques requires interdisciplinary work, among which cognitive…
Detection in Human-sensor Systems under Quantum Prospect Theory using Bayesian Persuasion Frameworks
Yinan Hu, Quanyan Zhu
Human-sensor systems have a wide range of applications in fields such as robotics, healthcare, and finance. These systems utilize sensors to observe the true state of nature and ge…
Finitely Repeated Adversarial Quantum Hypothesis Testing
Yinan Hu, Quanyan Zhu
We formulate a passive quantum detector based on a quantum hypothesis testing framework under the setting of finite sample size. In particular, we exploit the fundamental limits of…
Quantum Man-in-the-middle Attacks: a Game-theoretic Approach with Applications to Radars
Yinan Hu, Quanyan Zhu
The detection and discrimination of quantum states serve a crucial role in quantum signal processing, a discipline that studies methods and techniques to process signals that obey…
Game-Theoretic Neyman-Pearson Detection to Combat Strategic Evasion
Yinan Hu, Juntao Chen, Quanyan Zhu
The security in networked systems depends greatly on recognizing and identifying adversarial behaviors. Traditional detection methods focus on specific categories of attacks and ha…
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
Xiaochen Liu, Yang Gao, Yu Bai +4
Few-shot abstractive summarization has become a challenging task in natural language generation. To support it, we designed a novel soft prompts architecture coupled with a prompt…