Search Results - "Kâafar, Mohamed Ali"

Reliability of crowdsourced data and patient-reported outcome measures in cough-based COVID-19 screening by Xiong, Hao, Berkovsky, Shlomo, Kâafar, Mohamed Ali, Jaffe, Adam, Coiera, Enrico, Sharan, Roneel V.

“…Mass community testing is a critical means for monitoring the spread of the COVID-19 pandemic. Polymerase chain reaction (PCR) is the gold standard for…”
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Characterizing and Modeling User Behavior in a Large-Scale Mobile Live Streaming System by Zhenyu Li, Kaafar, Mohamed Ali, Salamatian, Kave, Gaogang Xie

“…In mobile live streaming systems, users have fairly limited interactions with streaming objects due to the constraints coming from mobile devices and the…”
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Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures by Vatsalan, Dinusha, Bhaskar, Raghav, Kaafar, Mohamed Ali

“…Privacy-preserving estimation of counts of items in streaming data finds applications in several real-world scenarios including word auto-correction and…”
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On the Fundamental Characteristics of Ultra-Dense Small Cell Networks by Ming Ding, Lopez-Perez, David, Claussen, Holger, Kaafar, Mohamed Ali

“…In order to cope with the forecasted 1000× increase in wireless capacity demands by 2030, network operators will aggressively densify their network…”
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Linking wireless devices using information contained in Wi-Fi probe requests by Cunche, Mathieu, Kaafar, Mohamed-Ali, Boreli, Roksana

“…Active service discovery in Wi-Fi involves wireless stations broadcasting their Wi-Fi fingerprint, i.e. the SSIDs of their preferred wireless networks. The…”
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Adwords management for third-parties in SEM: An optimisation model and the potential of Twitter by Dong Wang, Zhenyu Li, Gaogang Xie, Kaafar, Mohamed-Ali, Salamatian, Kave

“…In Search Engine Marketing (SEM), "third-party" partners play an important intermediate role by bridging the gap between search engines and advertisers in…”
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The Cost of Privacy in Asynchronous Differentially-Private Machine Learning by Farokhi, Farhad, Wu, Nan, Smith, David, Kaafar, Mohamed Ali

“…We consider training machine learning models using data located on multiple private and geographically-scattered servers with different privacy settings. Due…”
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Access Types Effect on Internet Video Services and Its Implications on CDN Caching by Xie, Gaogang, Li, Zhenyu, Kaafar, Mohamed Ali, Wu, Qinghua

“…Video providers heavily rely on geographically distributed content distribution networks (CDNs) to place video content as close to users as possible, with an…”
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Fairness and Cost Constrained Privacy-Aware Record Linkage by Wu, Nan, Vatsalan, Dinusha, Verma, Sunny, Kaafar, Mohamed Ali

“…Record linkage algorithms match and link records from different databases that refer to the same real-world entity based on direct and/or quasi-identifiers,…”
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P4Mobi: A Probabilistic Privacy-Preserving Framework for Publishing Mobility Datasets by Yang, Qing, Shen, Yiran, Vatsalan, Dinusha, Zhang, Jianpei, Kaafar, Mohamed Ali, Hu, Wen

“…The large-scale collection of individuals' mobility data poses serious privacy concerns. Instead of perturbing data by adding noise to the raw location data to…”
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A Differentially Private Framework for Deep Learning With Convexified Loss Functions by Lu, Zhigang, Asghar, Hassan Jameel, Kaafar, Mohamed Ali, Webb, Darren, Dickinson, Peter

“…Differential privacy (DP) has been applied in deep learning for preserving privacy of the underlying training sets. Existing DP practice falls into three…”
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Investigating Evasive Techniques in SMS Spam Filtering: A Comparative Analysis of Machine Learning Models by Salman, Muhammad, Ikram, Muhammad, Kaafar, Mohamed Ali

“…The persistence of SMS spam remains a significant challenge, highlighting the need for research aimed at developing systems capable of effectively handling the…”
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SPGNN-API: A Transferable Graph Neural Network for Attack Paths Identification and Autonomous Mitigation by Jmal, Houssem, Hmida, Firas Ben, Basta, Nardine, Ikram, Muhammad, Kaafar, Mohamed Ali, Walker, Andy

“…Attack paths are the potential chain of malicious activities an attacker performs to compromise network assets and acquire privileges through exploiting…”
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Do Auto-Regressive Models Protect Privacy? Inferring Fine-Grained Energy Consumption From Aggregated Model Parameters by Sheikh, Nazim Uddin, Asghar, Hassan Jameel, Farokhi, Farhad, Kaafar, Mohamed Ali

“…We investigate the extent to which statistical predictive models leak information about their training data. More specifically, based on the use case of…”
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Privacy-Aware Multipath Video Caching for Content-Centric Networks by Qinghua Wu, Zhenyu Li, Tyson, Gareth, Uhlig, Steve, Kaafar, Mohamed Ali, Gaogang Xie

“…The prevalence of Internet video streaming challenges the design and operation of modern networks. Content centric networking (CCN) has been proposed to…”
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Crowd-Cache: Leveraging on spatio-temporal correlation in content popularity for mobile networking in proximity by Thilakarathna, Kanchana, Jiang, Fang-Zhou, Mrabet, Sirine, Ali Kaafar, Mohamed, Seneviratne, Aruna, Xie, Gaogang

“…Mobile capped plans are being increasingly adopted by mobile operators due to an exponential data traffic growth. Users then often suffer high data consumption…”
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When are identification protocols with sparse challenges safe? The case of the Coskun and Herley attack by Asghar Hassan Jameel, Kaafar Mohamed Ali

“…Cryptographic identification protocols enable a prover to prove its identity to a verifier. A subclass of such protocols are shared-secret challenge-response…”
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On the geographic patterns of a large-scale mobile video-on-demand system by Zhenyu Li, Gaogang Xie, Jiali Lin, Yun Jin, Kaafar, Mohamed-Ali, Salamatian, Kavé

“…The widespread availability of smart mobile terminals along with the ever increasing bandwidth capabilities has promoted the popularity of mobile Internet…”
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A genealogy of information spreading on microblogs: A Galton-Watson-based explicative model by Dong Wang, Hosung Park, Gaogang Xie, Sue Moon, Kaafar, Mohamed-Ali, Salamatian, Kave

“…In this paper, we study the process of information diffusion in a microblog service developing Galton-Watson with Killing (GWK) model. Microblog services offer…”
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Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure by Vatsalan, Dinusha, Bhaskar, Raghav, Kaafar, Mohamed Ali

“…Privacy-preserving estimation of counts of items in streaming data finds applications in several real-world scenarios including word auto-correction and…”
Get full text