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Nicolas Kourtellis
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2020 – today
- 2024
- [j21]Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage:
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks. ACM Comput. Surv. 56(10): 266 (2024) - [c81]Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis:
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. ECAI 2024: 1639-1647 - [c80]Abdul-Rasheed Ottun, Rasinthe Marasinghe, Toluwani Elemosho, Mohan Liyanage, Mohamad Ragab, Prachi Bagave, Marcus Westberg, Mehrdad Asadi, Michell Boerger, Chamara Sandeepa, Thulitha Senevirathna, Bartlomiej Siniarski, Madhusanka Liyanage, Vinh Hoa La, Manh-Dung Nguyen, Edgardo Montes de Oca, Tessa Oomen, João Fernando Ferreira Gonçalves, Illija Tanaskovic, Sasa Klopanovic, Nicolas Kourtellis, Claudio Soriente, Jason Pridmore, Ana Rosa Cavalli, Drasko Draskovic, Samuel Marchal, Shen Wang, David Solans Noguero, Nikolay Tcholtchev, Aaron Yi Ding, Huber Flores:
The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications. ICDCS 2024: 947-959 - [c79]Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Ad Laundering: How Websites Deceive Advertisers into Rendering Ads Next to Illicit Content. WWW (Companion Volume) 2024: 782-785 - [i78]Dewant Katare, David Solans Noguero, Souneil Park, Nicolas Kourtellis, Marijn Janssen, Aaron Yi Ding:
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset. CoRR abs/2401.10397 (2024) - [i77]Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Nicolas Kourtellis, Mohamed Ali Kâafar:
Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users. CoRR abs/2401.14141 (2024) - [i76]Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Nicolas Kourtellis, Mohamed Ali Kâafar:
On mission Twitter Profiles: A Study of Selective Toxic Behavior. CoRR abs/2401.14252 (2024) - [i75]Muhammad A. Shah, David Solans Noguero, Mikko A. Heikkilä, Nicolas Kourtellis:
Speech Robust Bench: A Robustness Benchmark For Speech Recognition. CoRR abs/2403.07937 (2024) - [i74]Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Mohamad Ali Kâafar, Nicolas Kourtellis:
SenTopX: Benchmark for User Sentiment on Various Topics. CoRR abs/2406.02801 (2024) - [i73]Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis:
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. CoRR abs/2407.15224 (2024) - [i72]Stavros Eleftherakis, Domenico Giustiniano, Nicolas Kourtellis:
SoK: Evaluating 5G Protocols Against Legacy and Emerging Privacy and Security Attacks. CoRR abs/2409.06360 (2024) - 2023
- [c78]Panagiotis Papadopoulos, Dimitris Spythouris, Evangelos P. Markatos, Nicolas Kourtellis:
FNDaaS: Content-agnostic Detection of Websites Distributing Fake News. IEEE Big Data 2023: 1438-1449 - [c77]Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Nicolas Kourtellis, Mohamed Ali Kâafar:
Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users. IEEE Big Data 2023: 3624-3633 - [c76]Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Nicolas Kourtellis, Mohamed Ali Kâafar:
On mission Twitter Profiles: A Study of Selective Toxic Behavior. IEEE Big Data 2023: 3634-3643 - [c75]Yiannis Verginadis, Christos-Alexandros Sarros, Mario Reyes de los Mozos, Simeon Veloudis, Radoslaw Piliszek, Nicolas Kourtellis, Geir Horn:
NebulOuS: A Meta-Operating System with Cloud Continuum Brokerage Capabilities. FMEC 2023: 254-261 - [c74]John Pegioudis, Emmanouil Papadogiannakis, Nicolas Kourtellis, Evangelos P. Markatos, Panagiotis Papadopoulos:
Not only E.T. Phones Home: Analysing the Native User Tracking of Mobile Browsers. IMC 2023: 181-187 - [c73]Aristodemos Paphitis, Nicolas Kourtellis, Michael Sirivianos:
Resilience of Blockchain Overlay Networks. NSS 2023: 93-113 - [c72]Aristodemos Paphitis, Nicolas Kourtellis, Michael Sirivianos:
Graph Analysis of Blockchain P2P Overlays and Their Security Implications. SocialSec 2023: 167-186 - [c71]Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood, Muhammad Ikram, Nicolas Kourtellis, Mohamed Ali Kâafar:
A longitudinal study of the top 1% toxic Twitter profiles. WebSci 2023: 292-303 - [c70]Souvik Paul, Nicolas Kourtellis:
Sponge ML Model Attacks of Mobile Apps. HotMobile 2023: 139 - [c69]Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos, Michael Sirivianos:
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case. WWW (Companion Volume) 2023: 280-289 - [c68]Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos, Michael Sirivianos:
Privacy-Preserving Online Content Moderation with Federated Learning. WWW (Companion Volume) 2023: 1335-1338 - [c67]Paschalis Bekos, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
The Hitchhiker's Guide to Facebook Web Tracking with Invisible Pixels and Click IDs. WWW 2023: 2132-2143 - [c66]Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News Sites. WWW 2023: 2765-2776 - [e4]Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14174, Springer 2023, ISBN 978-3-031-43426-6 [contents] - [e3]Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14175, Springer 2023, ISBN 978-3-031-43429-7 [contents] - [i71]Souvik Paul, Nicolas Kourtellis:
Poster: Sponge ML Model Attacks of Mobile Apps. CoRR abs/2303.01243 (2023) - [i70]Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood, Muhammad Ikram, Mohamed Ali Kâafar, Nicolas Kourtellis:
A longitudinal study of the top 1% toxic Twitter profiles. CoRR abs/2303.14603 (2023) - [i69]Emmanouil Papadogiannakis, Nicolas Kourtellis, Panagiotis Papadopoulos, Evangelos P. Markatos:
The Devil is in the Details: Analyzing the Lucrative Ad Fraud Patterns of the Online Ad Ecosystem. CoRR abs/2306.08418 (2023) - 2022
- [j20]Diego Perino, Kleomenis Katevas, Andra Lutu, Eduard Marin, Nicolas Kourtellis:
Privacy-preserving AI for future networks. Commun. ACM 65(4): 52-53 (2022) - [j19]Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia, Stefano Traverso, Álvaro García-Recuero, Nikolaos Laoutaris, Amir Mehrjoo, Santiago Andrés Azcoitia, Rubén Cuevas Rumín, Kleomenis Katevas, Panagiotis Papadopoulos, Nicolas Kourtellis, Roberto Gonzalez, Xavi Olivares, George-Marios Kalatzantonakis-Jullien:
A PIMS Development Kit for New Personal Data Platforms. IEEE Internet Comput. 26(3): 79-84 (2022) - [j18]Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage:
A survey on privacy for B5G/6G: New privacy challenges, and research directions. J. Ind. Inf. Integr. 30: 100405 (2022) - [j17]Marinos Poiitis, Athena Vakali, Nicolas Kourtellis:
On the Aggression Diffusion Modeling and Minimization in Twitter. ACM Trans. Web 16(1): 5:1-5:24 (2022) - [c65]Dewant Katare, Nicolas Kourtellis, Souneil Park, Diego Perino, Marijn Janssen, Aaron Yi Ding:
Bias Detection and Generalization in AI Algorithms on Edge for Autonomous Driving. SEC 2022: 342-348 - [c64]Kleomenis Katevas, Diego Perino, Nicolas Kourtellis:
FLaaS - enabling practical federated learning on mobile environments. MobiSys 2022: 605-606 - [c63]George Pantelakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
Measuring the (Over)use of Service Workers for In-Page Push Advertising Purposes. PAM 2022: 426-438 - [c62]Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris, Evangelos P. Markatos, Nicolas Kourtellis:
YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy. SIGMETRICS (Abstracts) 2022: 41-42 - [c61]Beatrice Perez, Sara R. Machado, Jerone Theodore Alexander Andrews, Nicolas Kourtellis:
I call BS: Fraud Detection in Crowdfunding Campaigns. WebSci 2022: 1-11 - [c60]Myrsini Gkolemi, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
YouTubers Not madeForKids: Detecting Channels Sharing Inappropriate Videos Targeting Children. WebSci 2022: 370-381 - [c59]Kleomenis Katevas, Diego Perino, Nicolas Kourtellis:
FLaaS - practical federated learning as a service for mobile applications. HotMobile 2022: 130 - [c58]Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Leveraging Google's Publisher-Specific IDs to Detect Website Administration. WWW 2022: 2522-2531 - [i68]Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Leveraging Google's Publisher-specific IDs to Detect Website Administration. CoRR abs/2202.05074 (2022) - [i67]Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News sites. CoRR abs/2202.05079 (2022) - [i66]Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood, Muhammad Ikram, Mohamed Ali Kâafar, Nicolas Kourtellis:
A deep dive into the consistently toxic 1% of Twitter. CoRR abs/2202.07853 (2022) - [i65]Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage:
A Survey on Privacy for B5G/6G: New Privacy Goals, Challenges, and Research Directions. CoRR abs/2203.04264 (2022) - [i64]Myrsini Gkolemi, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
YouTubers Not madeForKids: Detecting Channels Sharing Inappropriate Videos Targeting Children. CoRR abs/2205.13885 (2022) - [i63]Varun Chandrasekaran, Suman Banerjee, Diego Perino, Nicolas Kourtellis:
Hierarchical Federated Learning with Privacy. CoRR abs/2206.05209 (2022) - [i62]Kleomenis Katevas, Diego Perino, Nicolas Kourtellis:
FLaaS: Enabling Practical Federated Learning on Mobile Environments. CoRR abs/2206.10963 (2022) - [i61]Paschalis Bekos, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
The Hitchhiker's Guide to Facebook Web Tracking with Invisible Pixels and Click IDs. CoRR abs/2208.00710 (2022) - [i60]Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos, Michael Sirivianos:
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case. CoRR abs/2209.11843 (2022) - [i59]Panagiotis Papadopoulos, Dimitris Spithouris, Evangelos P. Markatos, Nicolas Kourtellis:
FNDaaS: Content-agnostic Detection of Fake News sites. CoRR abs/2212.06492 (2022) - [i58]Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage:
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks. CoRR abs/2212.06987 (2022) - 2021
- [j16]Chrysoula Terizi, Despoina Chatzakou, Evaggelia Pitoura, Panayiotis Tsaparas, Nicolas Kourtellis:
Modeling aggression propagation on social media. Online Soc. Networks Media 24: 100137 (2021) - [j15]Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris, Evangelos P. Markatos, Nicolas Kourtellis:
YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy. Proc. ACM Meas. Anal. Comput. Syst. 5(3): 32:1-32:26 (2021) - [j14]Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis:
PPFL: Enhancing Privacy in Federated Learning with Confidential Computing. GetMobile Mob. Comput. Commun. 25(4): 35-38 (2021) - [c57]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. DEBS 2021: 103-113 - [c56]Ioannis Korontanis, Konstantinos Tserpes, Maria Pateraki, Lorenzo Blasi, John Violos, Ferran Diego, Eduard Marin, Nicolas Kourtellis, Massimo Coppola, Emanuele Carlini, Zbyszek Ledwon, Przemyslaw Tarkowski, Thomas Loven, Yago González Rozas, Mike Kentros, Michael Dodis, Patrizio Dazzi:
Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision. FRAME@HPDC 2021: 9-14 - [c55]Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis:
Catching them red-handed: Real-time Aggression Detection on Social Media. ICDE 2021: 2123-2128 - [c54]Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis:
Under the Spotlight: Web Tracking in Indian Partisan News Websites. ICWSM 2021: 26-37 - [c53]Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis:
PPFL: privacy-preserving federated learning with trusted execution environments. MobiSys 2021: 94-108 - [c52]Manolis Chalkiadakis, Alexandros Kornilakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
The Rise and Fall of Fake News sites: A Traffic Analysis. WebSci 2021: 168-177 - [c51]Yelena Mejova, Nicolas Kourtellis:
YouTubing at Home: Media Sharing Behavior Change as Proxy for Mobility Around COVID-19 Lockdowns. WebSci 2021: 272-281 - [c50]Yash Vekaria, Vibhor Agarwal, Pushkal Agarwal, Sangeeta Mahapatra, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis:
Differential Tracking Across Topical Webpages of Indian News Media. WebSci 2021: 299-308 - [c49]Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users. WWW 2021: 2130-2141 - [e2]Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12978, Springer 2021, ISBN 978-3-030-86513-9 [contents] - [e1]Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12979, Springer 2021, ISBN 978-3-030-86516-0 [contents] - [i57]Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis:
Under the Spotlight: Web Tracking in Indian Partisan News Websites. CoRR abs/2102.03656 (2021) - [i56]Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users. CoRR abs/2102.08779 (2021) - [i55]Yash Vekaria, Vibhor Agarwal, Pushkal Agarwal, Sangeeta Mahapatra, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis:
Differential Tracking Across Topical Webpages of Indian News Media. CoRR abs/2103.04442 (2021) - [i54]Manolis Chalkiadakis, Alexandros Kornilakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
The Rise and Fall of Fake News sites: A Traffic Analysis. CoRR abs/2103.09258 (2021) - [i53]Yelena Mejova, Nicolas Kourtellis:
YouTubing at Home: Media Sharing Behavior Change as Proxy for MobilityAround COVID-19 Lockdowns. CoRR abs/2103.14601 (2021) - [i52]Aristodemos Paphitis, Nicolas Kourtellis, Michael Sirivianos:
A First Look into the Structural Properties and Resilience of Blockchain Overlays. CoRR abs/2104.03044 (2021) - [i51]Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis:
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments. CoRR abs/2104.14380 (2021) - [i50]George Pantelakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
Be Daring to Push your Ads Forward: Measuring the (Over)use of Service Workers for Advertising Purposes. CoRR abs/2110.11241 (2021) - 2020
- [c48]Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis:
A Streaming Machine Learning Framework for Online Aggression Detection on Twitter. IEEE BigData 2020: 5056-5067 - [c47]Benjamin Zi Hao Zhao, Mohamed Ali Kâafar, Nicolas Kourtellis:
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning. CCSW 2020: 15-26 - [c46]Nicolas Kourtellis, Kleomenis Katevas, Diego Perino:
FLaaS: Federated Learning as a Service. DistributedML@CoNEXT 2020: 7-13 - [c45]Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis:
A Self-Attentive Emotion Recognition Network. ICASSP 2020: 7199-7203 - [c44]Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou, Jeremy Blackburn, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Michael Sirivianos:
Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children. ICWSM 2020: 522-533 - [c43]Konstantinos Solomos, Panagiotis Ilia, Nicolas Kourtellis:
Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem. TMA 2020 - [c42]Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry, Nicolas Kourtellis:
Stop tracking me Bro! Differential Tracking of User Demographics on Hyper-Partisan Websites. WWW 2020: 1479-1490 - [i49]Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry, Nicolas Kourtellis:
Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites. CoRR abs/2002.00934 (2020) - [i48]Chrysoula Terizi, Despoina Chatzakou, Evaggelia Pitoura, Panayiotis Tsaparas, Nicolas Kourtellis:
Angry Birds Flock Together: Aggression Propagation on Social Media. CoRR abs/2002.10131 (2020) - [i47]Marinos Poiitis, Athena Vakali, Nicolas Kourtellis:
On the Aggression Diffusion Modeling and Minimization in Online Social Networks. CoRR abs/2005.10646 (2020) - [i46]Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis:
Catching them red-handed: Real-time Aggression Detection on Social Media. CoRR abs/2006.10104 (2020) - [i45]Beatrice Perez, Sara R. Machado, Jerone T. A. Andrews, Nicolas Kourtellis:
I call BS: Fraud Detection in Crowdfunding Campaigns. CoRR abs/2006.16849 (2020) - [i44]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams. CoRR abs/2007.01260 (2020) - [i43]Benjamin Zi Hao Zhao, Mohamed Ali Kâafar, Nicolas Kourtellis:
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning. CoRR abs/2008.08807 (2020) - [i42]Nicolas Kourtellis, Kleomenis Katevas, Diego Perino:
FLaaS: Federated Learning as a Service. CoRR abs/2011.09359 (2020)
2010 – 2019
- 2019
- [j13]Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn, Nicolas Kourtellis:
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans. ACM J. Data Inf. Qual. 11(3): 10:1-10:37 (2019) - [j12]Enrico Mariconti, Guillermo Suarez-Tangil, Jeremy Blackburn, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Jordi Luque Serrano, Gianluca Stringhini:
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks. Proc. ACM Hum. Comput. Interact. 3(CSCW): 207:1-207:21 (2019) - [j11]Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali, Nicolas Kourtellis:
Detecting Cyberbullying and Cyberaggression in Social Media. ACM Trans. Web 13(3): 17:1-17:51 (2019) - [c41]Costas Iordanou, Nicolas Kourtellis, Juan Miguel Carrascosa, Claudio Soriente, Rubén Cuevas, Nikolaos Laoutaris:
Beyond content analysis: detecting targeted ads via distributed counting. CoNEXT 2019: 110-122 - [c40]Michalis Pachilakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
No More Chasing Waterfalls: A Measurement Study of the Header Bidding Ad-Ecosystem. Internet Measurement Conference 2019: 280-293 - [c39]Konstantinos Solomos, Panagiotis Ilia, Sotiris Ioannidis, Nicolas Kourtellis:
TALON: An Automated Framework for Cross-Device Tracking Detection. RAID 2019: 227-241 - [c38]Ioannis Arapakis, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Julien-Etienne Mascolo, Lidija Fodor, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Evangelia Kavakli, Despina Kopanaki, Nicolas Kourtellis, Mario Maawad Marcos, Ramon Martín de Pozuelo, Nemanja Milosevic, Giuditta Morandi, Enric Pages i Montanera, Gerald H. Ristow, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov:
Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. SERVICES 2019: 394-395 - [c37]Antigoni-Maria Founta, Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Athena Vakali, Ilias Leontiadis:
A Unified Deep Learning Architecture for Abuse Detection. WebSci 2019: 105-114 - [c36]Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
Cookie Synchronization: Everything You Always Wanted to Know But Were Afraid to Ask. WWW 2019: 1432-1442 - [i41]Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou, Jeremy Blackburn, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Michael Sirivianos:
Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube. CoRR abs/1901.07046 (2019) - [i40]Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis:
A Self-Attentive Emotion Recognition Network. CoRR abs/1905.01972 (2019) - [i39]Costas Iordanou, Nicolas Kourtellis, Juan Miguel Carrascosa, Claudio Soriente, Rubén Cuevas, Nikolaos Laoutaris:
Beyond content analysis: Detecting targeted ads via distributed counting. CoRR abs/1907.01862 (2019) - [i38]Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali, Nicolas Kourtellis:
Detecting Cyberbullying and Cyberaggression in Social Media. CoRR abs/1907.08873 (2019) - [i37]Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris, Evangelos P. Markatos, Nicolas Kourtellis:
Measuring ad value without bankrupting user privacy. CoRR abs/1907.10331 (2019) - [i36]Michalis Pachilakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
No More Chasing Waterfalls: A Measurement Study of the Header Bidding Ad-Ecosystem. CoRR abs/1907.12649 (2019) - [i35]Konstantinos Solomos, Panagiotis Ilia, Sotiris Ioannidis, Nicolas Kourtellis:
Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem. CoRR abs/1907.12860 (2019) - 2018
- [j10]Andri Ioannou, Jeremy Blackburn, Gianluca Stringhini, Emiliano De Cristofaro, Nicolas Kourtellis, Michael Sirivianos:
From risk factors to detection and intervention: a practical proposal for future work on cyberbullying. Behav. Inf. Technol. 37(3): 258-266 (2018) - [c35]Juan Echeverría, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Shi Zhou:
LOBO: Evaluation of Generalization Deficiencies in Twitter Bot Classifiers. ACSAC 2018: 137-146 - [c34]Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente:
There goes Wally: Anonymously sharing your location gives you away. IEEE BigData 2018: 1218-1227 - [c33]Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
Exclusive: How the (synced) Cookie Monster breached my encrypted VPN session. EuroSec@EuroSys 2018: 6:1-6:6 - [c32]Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, Nicolas Kourtellis:
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior. ICWSM 2018: 491-500 - [c31]Konstantinos Solomos, Panagiotis Ilia, Sotiris Ioannidis, Nicolas Kourtellis:
Automated Measurements of Cross-Device Tracking. IOSec@RAID 2018: 73-80 - [c30]