105 citations · 203 across the 39 of their papers we have counts for
13 papers · 1 filter
Exploring Adversarial Examples via Invertible Neural Networks
Ruqi Bai, Saurabh Bagchi, David I. Inouye
Adversarial examples (AEs) are images that can mislead deep neural network (DNN) classifiers via introducing slight perturbations into original images. This security vulnerability…
Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems
Mustafa Abdallah, Sayan Mitra, Shreyas Sundaram +1
We consider a security setting in which the Cyber-Physical System (CPS) is composed of subnetworks where each subnetwork is under ownership of one defender. Such CPS can be represe…
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh +4
We model the behavioral biases of human decision-making in securing interdependent systems and show that such behavioral decision-making leads to a suboptimal pattern of resource a…
I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing
Shikhar Suryavansh, Chandan Bothra, Kwang Taik Kim +3
In recent years, edge computing has become a popular choice for latency-sensitive applications like facial recognition and augmented reality because it is closer to the end users c…
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Ran Xu, Chen-lin Zhang, Pengcheng Wang +5
Advanced video analytic systems, including scene classification and object detection, have seen widespread success in various domains such as smart cities and autonomous transporta…
Can we Generalize and Distribute Private Representation Learning?
Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour +3
We study the problem of learning representations that are private yet informative, i.e., provide information about intended "ally" targets while hiding sensitive "adversary" attrib…