500 citations · 1.1k across the 25 of their papers we have counts for
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Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks
Ayca Ozcelikkale, Mehmet Koseoglu, Mani Srivastava
We consider a sensing application where the sensor nodes are wirelessly powered by an energy beacon. We focus on the problem of jointly optimizing the energy allocation of the ener…
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty +3
Deep neural networks are vulnerable to adversarial examples, even in the black-box setting, where the attacker is restricted solely to query access. Existing black-box approaches t…
Generating Natural Language Adversarial Examples
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary +3
Deep neural networks (DNNs) are vulnerable to adversarial examples, perturbations to correctly classified examples which can cause the model to misclassify. In the image domain, th…
Realizing Uncertainty-Aware Timing Stack in Embedded Operating System
Amr Alanwar, Fatima M. Anwar, Joao P Hespanha +1
Time awareness is critical to a broad range of emerging applications -- in Cyber-Physical Systems and Internet of Things -- running on commodity platforms and operating systems. Tr…
SecSens: Secure State Estimation with Application to Localization and Time Synchronization
Amr Alanwar, Bernhard Etzlinger, Henrique Ferraz +2
Research evidence in Cyber-Physical Systems (CPS) shows that the introduced tight coupling of information technology with physical sensing and actuation leads to more vulnerability…
Did you hear that? Adversarial Examples Against Automatic Speech Recognition
Moustafa Alzantot, Bharathan Balaji, Mani Srivastava
Speech is a common and effective way of communication between humans, and modern consumer devices such as smartphones and home hubs are equipped with deep learning based accurate a…