We are releasing ACN-Data, a dynamic dataset of workplace EV charging which currently
includes over 30,000 sessions with more added daily. In this paper we describe the dataset, …

As a critical feature for enhancing user experience, cross-app URL invocation has been
reported to cause unauthorized execution of app components. Although protection has already …

The prevalent usage of runtime packers has complicated Android malware analysis, as both
legitimate and malicious apps are leveraging packing mechanisms to protect themselves …

Virtual function calls are one of the most popular control-flow hijack attack targets. Compilers
use a virtual function pointer table, called a VTable, to dynamically dispatch virtual function …

Co-pollution of soil with pesticide residues and antibiotic resistance genes (ARGs) is
increasing due to the substantial usage of pesticides and organic fertilizers in greenhouse-based …

We study the tradeoff between consistency and robustness in the context of a single-trajectory
time-varying Markov Decision Process (MDP) with untrusted machine-learned advice. Our …

This paper presents a novel and practical data-driven approach to sub-optimally allocate
charging stations for electric vehicles (EVs) in an early-stage setting. Specifically, we …

A novel solid amine sorbent has been developed based on polyethylenimine (PEI)-grafted
monolithic porous carbon aerogel supports for efficient removal of CO 2 from industrial flue …

Background We aimed to address the knowledge gap that exists regarding the epidemiological,
demographic, and clinical characteristics of nontuberculous mycobacterial pulmonary …

The central purpose of this paper is to evaluate the impacts of green monetary and fiscal
policies on the sustainable development of fossil fuels resources in BRICS countries, through …