Now showing items 20-39 of 49

    • Efficient near-optimal t-closeness with low information loss 

      Thammanna Gowda, Vikas; Bagai, Rajiv; Spilinek, Gerald; Vitalapura, Spandana Siddaramanagowd (IEEE, 2021-09-22)
      The t-closeness technique is one of the most popular techniques for preserving individual privacy in data. It involves generalizing and suppressing some attributes of a given table, after partitioning the set of all records ...
    • An experimental evaluation on deepfake detection using deep face recognition 

      Ramachandran, Sreeraj; Nadimpalli, Aakash Varma; Rattani, Ajita (IEEE, 2021-10-11)
      Significant advances in deep learning have obtained hallmark accuracy rates for various computer vision applications. However, advances in deep generative models have also led to the generation of very realistic fake ...
    • Federated nearest neighbor classification with a colony of fruit-flies 

      Ram, Parikshit; Sinha, Kaushik (AAAI, 2022-06-28)
      The mathematical formalization of a neurological mechanism in the fruit-fly olfactory circuit as a locality sensitive hash (Flyhash) and bloom filter (FBF) has been recently proposed and "reprogrammed" for various ...
    • Function computation without secure links: Information and leakage rates 

      Chou, Rémi; Kliewer, Joerg (IEEE, 2022-06-26)
      Consider L users, who each holds private data, and one fusion center who must compute a function of the private data of the L users. To accomplish this task, each user can make a single use of a public and noiseless broadcast ...
    • Harnessing unlabeled data to improve generalization of biometric gender and age classifiers 

      Nadimpalli, Aakash Varma; Reddy, Narsi; Ramachandran, Sreeraj; Rattani, Ajita (IEEE, 2021-12-05)
      With significant advances in deep learning, many computer vision applications have reached the inflection point. However, these deep learning models need large amount of labeled data for model training and optimum parameter ...
    • Holographic augmented reality visualization interface for exploration 

      Bui, Bill; Hutton, Abbie; Adekalu, Oluwasayo; Hubener, Valerie; Zavala, P.; Hinshaw, Ramil; Karim, Radeef Ashhab Bin (Wichita State University, 2022-04-29)
      Based on Wichita's wheat harvesting nickname, Harvesters, Wichita State University NASA SUITS (Spacesuit User Interface Technologies for Students) team Harvestars proposed the integrated system H. A. R. V. I. E. (Holographic ...
    • Integration of instance-based learning and computed torque control for an effective assist-as-needed support in human-exoskeleton interaction 

      Delgado, Pablo; Yihun, Yimesker S.; Vangsness, Lisa; He, Hongsheng (Association for Industry, Engineering and Management Systems (AIEMS), 2022-12)
      The physiological responses that arise from human-robot interaction may vary across subjects in magnitude and rate. Such individual variations may require instance-based learning over model-based learning algorithms. For ...
    • Investigating fairness of ocular biometrics among young, middle-aged, and older adults 

      Krishnan, Anoop; Almadan, Ali; Rattani, Ajita (IEEE, 2021-10-11)
      A number of studies suggest bias of the face biometrics, i.e., face recognition and soft-biometric estimation methods, across gender, race, and age-groups. There is a recent urge to investigate the bias of different biometric ...
    • An IoT-based framework for an optimal monitoring and control of cyber-physical systems: Application on Biogas Production system 

      Aguida, Mohamed Anis; Ouchani, Samir; Benmalek, Mourad (ACM, 2022-03-08)
      Among the possible conversion processes for biomass is Anaerobic Digestion (AD) that produces a valuable energy known as biogas. However, the instability of biogas production is challenging due to the complex process of ...
    • Is Facial Recognition Biased at Near-Infrared Spectrum as Well? 

      Krishnan, Anoop; Neas, Brian; Rattani, Ajita (IEEE, 2022-11-15)
      Published academic research and media articles suggest face recognition is biased across demographics. Specifically, unequal performance is obtained for women, dark-skinned people, and older adults. However, these published ...
    • Learning task-oriented dexterous grasping from human knowledge 

      Li, Hui; Zhang, Yinlong; Li, Yanan; He, Hongsheng (IEEE, 2021-05-30)
      Industrial automation requires robot dexterity to automate many processes such as product assembling, packaging, and material handling. The existing robotic systems lack the capability to determining proper grasp strategies ...
    • Monocular visual-inertial and robotic-arm calibration in a unifying framework 

      Zhang, Yinlong; Liang, Wei; Yuan, Mingze; He, Hongsheng; Tan, Jindong; Pang, Zhibo (IEEE, 2021-10-20)
      Reliable and accurate calibration for camera, inertial measurement unit (IMU) and robot is a critical prerequisite for visual-inertial based robot pose estimation and surrounding environment perception. However, traditional ...
    • Multimodal combination of text and image tweets for disaster response assessment 

      Kotha, Saideshwar; Haridasan, Smitha; Rattani, Ajita; Bowen, Aaron; Rimmington, Glyn M.; Dutta, Atri (CEUR-WS, 2022-07-06)
      Social media platforms are a vital source of information in times of natural and man-made disasters. People use social media to report updates about injured or dead people, infrastructure damage, missing or found people ...
    • Multispectral deep learning models for wildfire detection 

      Haridasan, Smitha; Rattani, Ajita; Demissie, Zelalem; Dutta, Atri (CEUR-WS, 2022-07-06)
      Aided by wind, all it takes is one ember and few minutes to create wildfire. Wildfires are growing in frequency and size due to climate change. Wildfires and its consequences are one of the major environmental concerns. ...
    • On improving cross-dataset generalization of deepfake detectors 

      Nadimpalli, Aakash Varma; Rattani, Ajita (IEEE, 2022-06-19)
      Facial manipulation by deep fake has caused major security risks and raised severe societal concerns. As a countermeasure, a number of deep fake detection methods have been proposed recently. Most of them model deep fake ...
    • On the application of accessible wayfinding systems for tourism 

      Namboodiri, Vinod; Garfias, Francisco R.; Abraham, Ajay; Joseph, Siny (IEEE, 2022-09-23)
      Tourism is characterized by people searching for valuable information in unfamiliar surroundings. Recent advances in indoor and outdoor wayfinding systems that complement satellite-based systems provide many opportunities ...
    • Privacy-preserving online mirror descent for federated learning with single-sided trust 

      Odeyomi, Olusola T.; Zaruba, Gergely (IEEE, 2021-12-05)
      This paper discusses how clients in a federated learning system can collaborate with privacy guarantee in a fully decentralized setting without a central server. Most existing work includes a central server that aggregates ...
    • Quantifying the cost of privately storing data in distributed storage systems 

      Chou, Rémi (IEEE, 2022-07-01)
      Consider a user who wishes to store a file in multiple servers such that at least t servers are needed to reconstruct the files, and z colluding servers cannot learn any information about the file. Unlike traditional models, ...
    • Real-time scheduling of TrustZone-enabled DNN workloads 

      Babar, Mohammad Fakhruddin; Hasan, Monowar (Association for Computing Machinery, 2022-11-07)
      Limited resources in embedded devices often hinder the execution of computation-heavy machine learning processes. Running deep neural network (DNN) workloads while preserving the integrity of the model parameters and without ...
    • Secrecy rate of relay and intelligent reflecting surface antenna-assisted MIMO 

      Minson, Zachary T.; Kwon, Hyuck M. (IEEE, 2022-12-02)
      This paper proposes the use of an amplify-and-forward (AF) relay in addition to intelligent reflecting surface (IRS) antennas to ensure higher secrecy rates compared to IRS-only multiple-input multiple-output (MIMO) ...