526 citations · 715 across the 5 of their papers we have counts for
7 papers
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Huichen Li, Xiaojun Xu, Chang Liu +6
Malicious calls, i.e., telephony spams and scams, have been a long-standing challenging issue that causes billions of dollars of annual financial loss worldwide. This work presents…
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski, Alina Oprea, Battista Biggio +3
As machine learning becomes widely used for automated decisions, attackers have strong incentives to manipulate the results and models generated by machine learning algorithms. In…
Generating Plans that Predict Themselves
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick +4
Collaboration requires coordination, and we coordinate by anticipating our teammates' future actions and adapting to their plan. In some cases, our teammates' actions early on can…
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac +4
The study of human-robot interaction is fundamental to the design and use of robotics in real-world applications. Robots will need to predict and adapt to the actions of human coll…
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
Xiaojun Xu, Chang Liu, Qian Feng +3
The problem of cross-platform binary code similarity detection aims at detecting whether two binary functions coming from different platforms are similar or not. It has many securi…
Pragmatic-Pedagogic Value Alignment
Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick +7
As intelligent systems gain autonomy and capability, it becomes vital to ensure that their objectives match those of their human users; this is known as the value-alignment problem…
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior
Wenshuo Wang, Chang Liu, Ding Zhao
Big data has shown its uniquely powerful ability to reveal, model, and understand driver behaviors. The amount of data affects the experiment cost and conclusions in the analysis.…