{"id":27,"date":"2016-04-26T12:15:49","date_gmt":"2016-04-26T10:15:49","guid":{"rendered":"http:\/\/laoutaris.info\/?page_id=27"},"modified":"2026-09-09T19:47:10","modified_gmt":"2026-09-09T17:47:10","slug":"publications","status":"publish","type":"page","link":"https:\/\/laoutaris.info\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
\n

LLMs & RAG<\/strong><\/p>\n

A. Goultiaev Tolstokorov, K. Mouratidis, J. Dogani, <\/span>N. Laoutaris, \u201cRent-a-RAG: Embedding-Space Watermarks for Auditing Third-Party RAG,\u201d EMNLP’26.<\/strong> [pdf<\/a>]<\/p>\n

J. Dogani, D. \u0130\u015fler, N. Laoutaris, \u201cINDEXGUARD: Index-only Backdoor Vetting for Secure Federated PEFT of Large Language Models,\u201d <\/span>ICML’26.<\/strong> [<\/span>pdf<\/a>]<\/span><\/p>\n

\n

FEDERATED LEARNING\u00a0<\/strong><\/p>\n

D. \u0130sler, E. van Kempen, S. Hwang, N. Laoutaris, \u201cFedPoP: Federated Learning Meets Proof of Participation,\u201d Journal on Information Security.<\/strong> [pdf<\/a>]<\/p>\n

N. Li, J. Dogani, R. Wang, K. Liang, N. Laoutaris, \u201cPrivacy-preserving Chunk Scheduling in a BitTorrent Implementation of Federated Learning,\u201d IEEE ICDCS’26.<\/strong> [pdf<\/a>]<\/p>\n

J. Dogani, M. Khastkhodaei, F. Khunjush, N. Laoutaris, \u201cSemanticDFL: Similarity-Aware Pull-based Personalized Decentralized Federated Learning,\u201d ACM SIGMETRICS’26.<\/strong> [pdf<\/a>]<\/p>\n

J. Dogani, R. Namvar, M. Khodarahmi, F. Khunjush, N. Laoutaris, \u201cFLEAT: Energy-Accuracy Trade-off in Federated Learning over Heterogeneous Edge Devices,\u201d Transactions on Mobile Computing.<\/strong> [pdf<\/a>]<\/p>\n

R. Wang, X. Wang, H. Chen, J. Decouchant, S. Picek, N. Laoutaris, K. Liang, \u201cMUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering,\u201d ACM SIGMETRICS’25.<\/strong> [arXiv:2208.10161<\/a>].<\/p>\n

T. Chu, N. Laoutaris, \u201cFedQV: Leveraging Quadratic Voting in Federated Learning,\u201d ACM SIGMETRICS’24<\/strong>. [preprint<\/a>][slides<\/a>].<\/p>\n

T. Chu, A. Garcia-Recuero, C. Iordanou, G. Smaragdakis, N. Laoutaris, \u201cSecuring Federated Sensitive Topic Classification against Poisoning Attacks,\u201d NDSS’23<\/strong>. [pdf<\/a>]<\/p>\n

T. Chu, M. Yang, N. Laoutaris, A. Markopoulou, \u201cPriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning,\u201d ACM Transactions on Modeling and Performance Evaluation<\/strong>
\nof Computing Systems<\/strong>, Vol. 10, No. 2, 2025. (Special Issue on Performance Evaluation of Federated Learning Systems). [arXiv:2310.19958<\/a>].<\/p>\n

\n

APPLICATIONS OF BIG DATA AND MACHINE LEARNING\u00a0<\/strong><\/p>\n

E. Cabana, A. Lutu, E. Frias-Martinez, N. Laoutaris, \u201cImproving Epidemic Risk Maps Using Mobility Information from Mobile Network Data,\u201d ACM SIGSPATIAL’22<\/strong>. (extended abstract<\/a>, full version<\/a> at SpatialEpi’22 workshop<\/strong>).<\/p>\n

\n

DATA ECONOMY<\/strong><\/p>\n

D. Isler, S. Hwang, Y. Nakatsuka, N. Laoutaris, G. Tsudik \u201cPuppy: A Publicly Verifiable Watermarking Protocol,\u201d [arXiv:2312.09125<\/a>].<\/p>\n

D. Isler, E. Cabana, A. Garcia-Recuero, G. Koutrika, N. Laoutaris, \u201cFreqyWM: Frequency Watermarking for the New Data Economy,\u201d ICDE\u201924<\/strong>. [pdf<\/a>]<\/p>\n

S. Andres Azcoitia, C. Iordanou, N. Laoutaris, \u201cUnderstanding the Price of Data in Commercial Data Marketplaces,\u201d ICDE’23<\/b>. [arXiv:2111.04427<\/a>] [slides<\/a>] [dataset<\/a>]<\/p>\n

P. Maesen, D. \u0130\u015fler, N. Laoutaris, Z. Erkin, \u201cImage Watermarking for Machine Learning Datasets,\u201d ACM Data Economy Workshop<\/strong>, 2023. [pdf<\/a>]<\/p>\n

T. Hristov, D. \u0130\u015fler, N. Laoutaris, Z. Erkin, \u201cGraph Database Watermarking Using Pseudo-Nodes,\u201d ACM Data Economy Workshop<\/strong>, 2023. [pdf<\/a>]<\/p>\n

S. Andres Azcoitia, M. Paraschiv, N. Laoutaris, \u201cComputing the Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces,\u201d ACM SIGSPATIAL’22.<\/strong> [arXiv:2002.11193<\/a>]<\/p>\n

S. Andres Azcoitia, N. Laoutaris, \u201cA Survey of Data Marketplaces and Their Business Models,\u201d ACM SIGMOD Record<\/strong>, Vol. 51, No. 3, Sep. 2022.\u00a0[arXiv:2201.04561<\/a>]<\/p>\n

S. Andres Azcoitia, C. Iordanou, N. Laoutaris, \u201cMeasuring the Price of Data in Commercial Data Marketplaces,\u201d ACM Data Economy Workshop<\/strong>, 2022.<\/p>\n

M. Pachilakis, P. Papadopoulos, N. Laoutaris, E. Markatos, N. Kourtellis, \u201cYourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy,\u201d ACM SIGMETRICS’22<\/strong>. [pdf<\/a>]<\/p>\n

N. Laoutaris and C. Iordanou, \u201cWhat do Information Centric Networks, Trusted Execution Environments, and Digital Watermarking have to do with Privacy, the Data Economy, and their future?,\u201d ACM CCR<\/strong>, Vol. 51, No. 1, Jan. 2021. [pdf<\/a>]<\/p>\n

S. Andres Azcoitia, N. Laoutaris, \u201cTry Before You Buy: A practical data purchasing algorithm for real-world data marketplaces,\u201d ACM Data Economy Workshop<\/strong>, 2022. [arXiv:2012.08874<\/a>]<\/p>\n

N. Laoutaris, \u201cWhy Online Services Should Pay You for Your Data? The Arguments for a Human-Centric Data Economy,\u201d IEEE Internet Computing<\/strong>, Vol. 23, No. 5, Dec. 2019. [pdf<\/a>]<\/p>\n

M. Paraschiv, N. Laoutaris, \u201cValuating User Data in a Human-Centric Data Economy,\u201d [arXiv:1909.01137<\/a>].<\/p>\n

\n

DISINFORMATION \/ FAKE NEWS\u00a0<\/strong><\/p>\n

N. Salamanos, P. Leonidou, N. Laoutaris, M. Sirivianos, M. Aspri, M. Paraschiv, \u201cHyperGraphDis: Leveraging Hypergraphs for Contextual and Social-Based Disinformation Detection,\u201d ICWSM’24 <\/strong>[preprint<\/a>].<\/p>\n

M. Paraschiv, N. Salamanos, C. Iordanou, N. Laoutaris, M. Sirivianos, \u201cA Unified Graph-Based Approach to Disinformation Detection using Contextual and Semantic Relations,\u201d ICWSM’22<\/strong>. [preprint<\/a>]<\/p>\n

\n

<\/b>PRIVACY \/ TRANSPARENCY<\/strong><\/p>\n

M. G\u00f6tze, S. Matic, C. Iordanou, G. Smaragdakis and N. Laoutaris, \u201cMeasuring Web Cookies in Governmental Websites,\u201d ACM WebSci’22<\/strong>. [pdf<\/a>]<\/p>\n

S. Matic, C. Iordanou, G. Smaragdakis, N. Laoutaris, \u201cIdentifying Sensitive URLs at Web-Scale,\u201d ACM IMC’20<\/strong>. [pdf<\/a>]<\/p>\n

C. Iordanou, N. Kourtellis, J. M. Carrascosa, C. Soriente, R. Cuevas, N. Laoutaris, \u201cBeyond content analysis: Detecting targeted ads via distributed counting,\u201d ACM CoNEXT’19.<\/b> [pdf<\/a>] [slides<\/a>]<\/p>\n

N. Laoutaris,\u00a0\u201cData Transparency: Concerns and Prospects,\u201d Proceedings of the IEEE<\/strong>, Vol. 106, No. 11, Nov. 2018. [pdf<\/a>]<\/p>\n

C. Iordanou, G. Smaragdakis, I. Poese, N. Laoutaris,\u00a0\u201cTracing Cross Border Web Tracking,\u201d\u00a0ACM IMC’18<\/b>. [pdf<\/a>]\u00a0[Distinguished Paper Award<\/span>]<\/span><\/p>\n

C. Iordanou, C. Soriente, M. Sirivianos, N. Laoutaris,\u00a0\u201cWho is Fiddling with Prices? Building and Deploying a Watchdog Service for E-commerce,\u201d\u00a0ACM SIGCOMM’17<\/b>. [pdf<\/a>] [dataset<\/a>]<\/p>\n

P. Papadopoulos, N. Kourtellis, P. Rodriguez, N. Laoutaris,\u00a0\u201cIf you are not paying for it, you are the product: How much do advertisers pay to reach you?,\u201d\u00a0ACM IMC’17<\/b>. [pdf<\/a>]<\/p>\n

R. Gonzalez, C. Soriente, N. Laoutaris,\u00a0\u201cUser profiling in the time of HTTPS,\u201d\u00a0ACM IMC’16<\/b>. [pdf<\/a>]<\/p>\n

F. Papaodyssefs,\u00a0C. Iordanou,\u00a0J. Blackburn,\u00a0N. Laoutaris,\u00a0K. Papagiannaki,\u00a0\u201cWeb Identity Translator: Behavioral Advertising and Identity Privacy with WIT,\u201d\u00a0ACM HotNets’15<\/b>. [pdf<\/span><\/a>]<\/p>\n

J. M. Carrascosa, J. Mikians, R. Cuevas, V. Erramilli, N. Laoutaris,\u00a0\u201cI Always Feel Like Somebody’s Watching Me. Measuring Online Behavioural Advertising,\u201d\u00a0ACM CoNEXT’15<\/b>. [pdf<\/span><\/a>]<\/p>\n

J. Mikians, L. Gyarmati, V. Erramilli, N. Laoutaris, \u201cCrowd-assisted Search for Price Discrimination in E-Commerce: First results,\u201d ACM CoNEXT’13<\/b>. [pdf]<\/span><\/a><\/p>\n

J. Mikians, L. Gyarmati, V. Erramilli, N. Laoutaris, \u201cDetecting price and search discrimination on the Internet,\u201d in Proc. of\u00a0ACM HotNets’12<\/b>. [pdf]<\/span><\/a><\/p>\n

T. Lauinger, N. Laoutaris, P. Rodriguez, T. Strufe, E. Biersack, E. Kirda, \u201cPrivacy Risks in Named Data Networking: What is the Cost of Performance?,\u201d Editorial note\u00a0ACM Comp. Comm. Rev<\/b>., Oct. 2012. \u00a0[pdf]<\/span><\/a><\/p>\n

\n

INTELLIGENT\u00a0TRANSPORTATION<\/strong><\/p>\n

B. Hemmatpour, J. Dogani, and N. Laoutaris, \u201cQuantifying the Robustness of Smart Street Parking Assignment to Sensor Noise,\u201d MDM’26<\/b>. [pdf<\/a>]<\/p>\n

B. Hemmatpour, J. Dogani, and N. Laoutaris, \u201cReducing Street Parking Search Time via Smart Assignment Strategies,\u201d ACM SIGSPATIAL’25<\/b>. [arXiv:2508.19979<\/a>]<\/p>\n

B. Cici, A. Markopoulou and N. Laoutaris, \u201cSORS: A Scalable Online Ridesharing System,\u201d\u00a0ACM IWCTS’16<\/b>. [pdf<\/span><\/a>]<\/p>\n

S. Meichanetzoglou, S. Ioannidis, N. Laoutaris,\u00a0\u201cTesting for common sense (violation) in airline pricing or how complexity asymmetry defeated you and the web,\u201d [arXiv:1509.05382<\/span><\/a>].<\/p>\n

B. Cici, A. Markopoulou and N. Laoutaris, \u201cDesigning an On-Line Ride-Sharing System,\u201d\u00a0ACM SIGSPATIAL’15<\/b>. [pdf<\/span><\/a>]<\/p>\n

B. Cici, A. Markopoulou, E. Frias-Martinez, N. Laoutaris, \u201cAssessing the potential of ride-sharing using mobile and social data:\u00a0A tale of 2 continents and 4 cities,\u201d\u00a0ACM UBICOMP’14<\/b>.[pdf]<\/span><\/a><\/p>\n

B. Cici, A. Markopoulou, E. Frias-Martinez, N. Laoutaris, \u201cQuantifying the Potential of Ride-Sharing using Call Description Records,\u201d in Proc. of\u00a0ACM HotMobile’13<\/b>. [pdf]<\/span><\/a><\/p>\n

\n

BULK\u00a0TRANSFERS ON THE INTERNET<\/strong><\/p>\n

N. Laoutaris, M. Sirivianos, X. Yang, P. Rodriguez, \u201cInter-Datacenter Bulk Transfers with NetStitcher,\u201d in Proc. of\u00a0ACM SIGCOMM’11<\/b>. [pdf]<\/span><\/a><\/p>\n

N. Laoutaris, G. Smaragdakis, P. Rodriguez, R. Sundaram,\u00a0\u00a0\u201cDelay Tolerant Bulk Data Transfers on the Internet,\u201d\u00a0in Proc. of\u00a0ACM SIGMETRICS’09<\/b>.\u00a0[pdf<\/span><\/a>] [Long version in ACM\/IEEE Transactions on Networking].<\/p>\n

N. Laoutaris, P. Rodriguez, \u201cGood Things Come to Those Who (Can) Wait or How to Handle Delay Tolerant Traffic and Make Peace on the Internet,\u201d in Proc. of ACM HotNets\u201908<\/b>. [pdf]<\/span><\/a><\/p>\n

\n

SOCIAL NETWORKS<\/strong><\/p>\n

S. Traverso, K. Huguenin, I. Trestian, V. Erramilli, N. Laoutaris and K. Papagiannaki, \u201cTailGate: Handling long-tail content with a little help from friends\u201d in Proc. of\u00a0WWW’12<\/b>. [pdf]<\/span><\/a> [Long version in IEEE Transactions on Parallel and Distributed Systems].<\/p>\n

J.-M. Pujol, V. Erramilli, G. Siganos, X. Yang, N. Laoutaris, P. Chhabra, P. Rodriguez,\u00a0\u00a0\u201cThe Little Engine(s) that could: Scaling Online Social Networks,\u201d in Proc. of ACM SIGCOMM’10<\/b>.\u00a0\u00a0[pdf]<\/span><\/a> [Long version in ACM\/IEEE Transactions on Networking].<\/p>\n

\n

ENERGY EFFICIENCY<\/strong><\/p>\n

E. Goma, M. Canini, A. Lopez, N. Laoutaris, D. Kostic, P. Rodriguez, R. Stanojevic, \u201cInsomnia in the Access or How to Curb Access Network Related Energy Consumption,\u201d in Proc. of\u00a0ACM SIGCOMM’11<\/b>. [pdf]<\/span><\/a><\/p>\n

V. Valancius, N. Laoutaris, L. Massoulie, C. Diot, P. Rodriguez, \u201cGreening the Internet with Nano Data Centers,\u201d in Proc. of ACM CoNEXT’09<\/b>.\u00a0[pdf<\/span><\/a>]<\/p>\n

N. Laoutaris, P. Rodriguez, L. Massoulie, \u201cECHOS: edge capacity hosting overlays of nano data centers,\u201d ACM Comp. Comm. Rev<\/b>., vol. 38, no. 1, pp.51-54,\u00a0 Jan. 2008. [pdf<\/span><\/a>]<\/p>\n

\n

NETWORK ECONOMICS<\/strong><\/p>\n

A. Lodhi,\u00a0A.Dhamdhere, N. Laoutaris,\u00a0C. Dovrolis, \u201cComplexities in Internet Peering: Understanding the “Black” in the “Black Art,\u201d\u00a0IEEE INFOCOM’15<\/b>. [pdf<\/span><\/a>]<\/p>\n

J. Cardona, R. Stanojevic, N. Laoutaris,\u00a0\u201cCollaborative consumption for mobile broadband: a\u00a0quantitative study,\u201d\u00a0ACM CoNEXT’14<\/b>. [pdf<\/span><\/a>]<\/p>\n

L. Gyarmati, N. Laoutaris, K. Sdrolias, P. Rodriguez,\u00a0C. Courcoubetis, \u201cFrom advertising profits to bandwidth prices – A quantitative methodology for negotiating premium peering,\u201dNetEcon’14<\/b>.\u00a0[Long version in ACM Transactions on Internet Technology]. [pdf<\/a>]<\/p>\n

L. Gyarmati, R. Stanojevic, M. Sirivianos, N. Laoutaris, \u201cSharing the Cost of Backbone Networks: Cui Bono?,\u201d in Proc. of\u00a0ACM IMC’12<\/b>. [pdf]<\/span><\/a><\/p>\n

L. Gyarmati, M. Sirivianos, N. Laoutaris, \u201cSharing the Cost of Backbone Networks: Simplicity vs. Precision,\u201d in Proc. of\u00a0NetEcon’12<\/b>.<\/p>\n

J. Otto, R. Stanojevic, N. Laoutaris, \u201cTemporal Rate Limiting: cloud elasticity at a flat fee,\u201d in Proc. of\u00a0NetEcon’12<\/b>. [pdf]<\/span><\/a><\/p>\n

R. Stanojevic,\u00a0N. Laoutaris, P. Rodriguez,\u00a0\u201cOn Economic Heavy Hitters: Shapley value analysis of 95th-percentile pricing,\u201d in Proc. of ACM IMC’10<\/b>. [pdf]<\/span><\/a><\/p>\n

J. Londo\u00f1o, A. Bestavros, N. Laoutaris, \u201cTrade & Cap: A Customer-Managed, Market-Based System for Trading Bandwidth Allowances at a Shared Link,\u201d in Proc. of\u00a0NetEcon’10<\/b>. [Long version in Computer Networks journal].<\/p>\n

P. Chhabra, N. Laoutaris, P. Rodriguez, and R. Sundaram,\u00a0\u201cHome is where the (Fast) Internet is: Flat-rate Compatible Incentives for Reducing Peak Load,\u201d ACM HomeNets\u201910<\/b>.<\/p>\n

\n

WIRELESS\/MOBILE<\/strong><\/p>\n

C. Rossi, N. Vallina-Rodriguez, V. Erramilli, Y. Grunenberger, L. Gyarmati, N. Laoutaris, R. Stanojevic, K. Papagiannaki, P. Rodriguez, \u201c3GOL: Power-boosting ADSL using 3G OnLoading,\u201d\u00a0ACM CoNEXT’13<\/b>. [pdf]<\/span><\/a><\/p>\n

N. Vallina, L. Gyarmati, Y. Grunenberger , R. Stanojevic, V. Erramilli, N. Laoutaris, K. Papagiannaki, \u201cWhen David can help Goliath: the case for cellular augmentation of wired networks,\u201d in Proc. of\u00a0ACM HotNets’12<\/b>. [pdf]<\/span><\/a><\/p>\n

\n

BITTORRENT<\/strong><\/p>\n

R. Cuevas, N. Laoutaris, X. Yang, G. Siganos, P. Rodriguez, \u201cDeep Diving into BitTorrent Locality,\u201d in Proc. of\u00a0IEEE INFOCOM’11<\/b>. [pdf]<\/span><\/a> [Long version in IEEE Transactions on Parallel and Distributed Systems].<\/p>\n

N. Laoutaris, D. Carra, P. Michardi, \u201cUplink Allocation Beyond Choke\/Unchoke or How to Divide and Conquer Best,\u201d in Proc. of ACM CoNEXT’08<\/b>. [pdf<\/span><\/a>]<\/p>\n

\n

OVERLAY CONSTRUCTION<\/strong><\/p>\n

N. Laoutaris, L. Poplawski, R. Rajaraman, R. Sundaram, and S.-H. Teng, \u201cBounded Budget Connection (BBC) games or How to make friends and influence people, on a budget,\u201d in Proc. of\u00a0 ACM PODC’08<\/b>. [pdf]<\/span><\/a>\u00a0\u00a0[Long version in\u00a0 <\/span>J. Comput. Syst. Sci.].<\/p>\n

G. Smaragdakis, V. Lekakis, N. Laoutaris, A. Bestavros, J. Byers, M. Roussopoulos, \u201cThe EGOIST Overlay Routing System,\u201d in Proc. of ACM CoNEXT’08<\/b>. [pdf]<\/span><\/a> [Long version in ACM\/IEEE Transactions on Networking].<\/p>\n

G. Smaragdakis, N. Laoutaris, P. Michiardi, A. Bestavros, J. Byers, M. Roussopoulos, \u201cSwarming on optimized graphs for n-way broadcast,\u201d in Proc. of IEEE INFOCOM’08<\/b>. [Long version in IEEE Transactions on Parallel and Distributed Systems].<\/p>\n

N. Laoutaris, G. Smaragdakis, A. Bestavros, and J. Byers, \u201cImplications of selfish neighbor selection in overlay networks,\u201d in Proc. of IEEE INFOCOM \u201907<\/strong>, Anchorage, AK, May 2007.\u00a0 <\/span><\/p>\n

\n

REPLICATION<\/strong><\/p>\n

N. Laoutaris, G. Smaragdakis, K. Oikonomou, I. Stavrakakis, and A. Bestavros, \u201cDistributed placement of service facilities in large-scale networks,\u201d in Proc. of IEEE INFOCOM \u201907<\/b>, Anchorage, AK, May 2007. [Long version in ACM\/IEEE Transactions on Networking].<\/p>\n

N. Laoutaris, O. Telelis, V. Zissimopoulos, and I. Stavrakakis, \u201cDistributed selfish replication,\u201d IEEE\u00a0Transactions on Parallel and Distributed Systems<\/b>, vol. 17, no. 12, pp. 1401\u20131413, Dec. 2006.<\/p>\n

N. Laoutaris, V. Zissimopoulos, and I. Stavrakakis, \u201cOn the optimization of storage capacity allocation for\u00a0content distribution,\u201d Computer Networks<\/b>, vol. 47, no. 3, pp. 409\u2013428, Feb. 2005.<\/p>\n

N. Laoutaris, V. Zissimopoulos, and I. Stavrakakis, \u201cJoint object placement and node dimensioning for internet content distribution,\u201d Information Processing Letters<\/b>, vol. 89, no. 6, pp. 273\u2013279, Mar. 2004.<\/p>\n

N. Laoutaris, O. Telelis, V. Zissimopoulos, and I. Stavrakakis, \u201cLocal utility aware content replication,\u201d in Proc. of IFIP Networking \u201905<\/b>.<\/p>\n

N. Laoutaris, V. Zissimopoulos, and I. Stavrakakis, \u201cStorage capacity allocation algorithms for hierarchical\u00a0content distribution,\u201d in Proc. of IFIP Net-Con \u201904<\/b>.<\/p>\n

N. Laoutaris, A. Panagakis, and I. Stavrakakis, \u201cContent distribution through autonomic content and storage management,\u201d in Proc. WAC \u201904<\/b>.<\/p>\n

\n

CACHING<\/strong><\/p>\n

N. Laoutaris, G. Zervas, A. Bestavros, and G. Kollios, \u201cThe cache inference problem and its application to\u00a0content and request routing,\u201d in Proc. of IEEE INFOCOM \u201907<\/b>.<\/p>\n

N. Laoutaris, G. Smaragdakis, A. Bestavros, and I. Stavrakakis, \u201cMistreatment in distributed caching groups: Causes and implications,\u201d in Proc. of IEEE INFOCOM \u201906<\/b>.<\/p>\n

N. Laoutaris, G. Smaragdakis, A. Bestavros, I. Matta, and I. Stavrakakis, \u201cDistributed selfish caching,\u201d IEEE\u00a0Transactions on Parallel and Distributed Systems<\/strong>, vol. 18, no. 10, Oct. 2007.<\/p>\n

N. Laoutaris, \u201cA closed-form method for LRU replacement under generalized power-law demand,\u201d 2007, arXiv:0705.1970v1<\/a><\/p>\n

G. Smaragdakis, N. Laoutaris, A. Bestavros, I. Matta, and I. Stavrakakis, \u201cMistreatment-resilient distributed\u00a0caching,\u201d Computer Networks<\/b>, vol. 51, no. 11, pp. 2917\u20132937 , 2007.<\/p>\n

G. Smaragdakis, N. Laoutaris, I. Matta, A. Bestavros, and I. Stavrakakis, \u201cA feedback control approach to\u00a0mitigating mistreatment in distributed caching groups,\u201d in Proc. of IFIP Networking \u201906<\/b>.<\/p>\n

N. Laoutaris, H. Che, and I. Stavrakakis, \u201cThe LCD interconnection of LRU caches and its analysis,\u201d\u00a0Performance Evaluation<\/b>, vol. 63, no. 7, pp. 609\u2013634, July 2006. [PS]<\/span><\/a><\/p>\n

E. Balafoutis, A. Panagakis, N. Laoutaris, and I. Stavrakakis, \u201cStudy of the impact of replacement granularity and associated strategies on video caching,\u201d Cluster Computing<\/b>, vol. 8, no. 1, pp. 89\u2013100, Jan. 2005.<\/p>\n

N. Laoutaris, S. Syntila, and I. Stavrakakis, \u201cMeta algorithms for hierarchical web caches,\u201d in Proc. IEEE\u00a0IPCCC \u201904<\/b>, Phoenix, Arizona, Apr. 2004. [pdf<\/span><\/a>]<\/p>\n

E. Balafoutis, A. Panagakis, N. Laoutaris, and I. Stavrakakis, \u201cThe impact of replacement granularity on video caching,\u201d in Proc. IFIP Networking \u201902<\/b>.<\/p>\n

\n

MULTIMEDIA STREAMING<\/strong><\/p>\n

C. C. Vassilakis, N. Laoutaris, and I. Stavrakakis, \u201cOn the Impact of Playout Scheduling on the Performance of Peer-to-Peer Live Streaming,\u201d\u00a0Computer Networks<\/b>,\u00a0Vol. 53, No. 4, pp. 456-469, 2009.<\/p>\n

C. C. Vassilakis, N. Laoutaris, and I. Stavrakakis, \u201cThe impact of playout policy on the performance of P2P\u00a0live streaming,\u201d in Proc. of ACM MMCN<\/b> \u201908, San Jose, California, Jan 2008.<\/p>\n

N. Laoutaris, B. V. Houdt, and I. Stavrakakis, \u201cOptimization of a packet video receiver under different levels of delay jitter: An analytical approach,\u201d Performance Evaluation<\/b>, vol. 55, no. 3-4, pp. 251\u2013275, Feb. 2004. [PS]<\/span><\/a><\/p>\n

N. Laoutaris and I. Stavrakakis, \u201cAn analytical design of optimal playout schedulers for packet video\u00a0receivers,\u201d Computer Communications<\/b>, vol. 26, no. 4, pp. 294\u2013303, Mar. 2003.<\/p>\n

N. Laoutaris and I. Stavrakakis, \u201cIntrastream synchronization for continuous media streams: A survey of playout schedulers,\u201d IEEE Network Magazine<\/b>, vol. 16, no. 3, May 2002.<\/p>\n

N. Laoutaris, G. Boukeas, and I. Stavrakakis, \u201cDesign of optimal playout schedulers for packet video\u00a0receivers,\u201d in Proc. QofIS \u201901<\/b>, Coimbra, Portugal, Sept. 2001.<\/p>\n

N. Laoutaris and I. Stavrakakis, \u201cAdaptive playout strategies for packet video receivers with finite buffer\u00a0capacity,\u201d in Proc. IEEE ICC \u201901<\/b>, Helsinki, Finland, June 2001.<\/p>\n

N. Karelos, N. Laoutaris, P. Balaouras, and I. Stavrakakis, \u201cEndsystem performance issues for continuous media streaming applications,\u201d in Proc. ATM & IP<\/b>, Ilkley, West Yorkshire, U.K, July 2000.<\/p>\n

\n

OTHER<\/strong><\/p>\n

C. Xenakis, N. Laoutaris, L. Merakos, and I. Stavrakakis, \u201cA generic characterization of the overheads imposed by IPsec and associated cryptographic algorithms,\u201d Computer Networks, vol. 50, no. 17, pp. 3225\u20133241, Dec.
\n2006.<\/p>\n

N. Kranitis, A. Merentitis, N. Laoutaris, G. Theodorou, A. Paschalis, D. Gizopoulos, and C. Halatsis,\u00a0\u201cOptimal periodic testing of intermittent faults in embedded pipelined processor applications,\u201d in Proc. of DATE \u201906, Munich, Germany, Mar. 2006.<\/p>\n","protected":false},"excerpt":{"rendered":"

LLMs & RAG A. Goultiaev Tolstokorov, K. Mouratidis, J. Dogani, N. Laoutaris, \u201cRent-a-RAG: Embedding-Space Watermarks for Auditing Third-Party RAG,\u201d EMNLP’26. [pdf] J. Dogani, D. \u0130\u015fler, N. Laoutaris, \u201cINDEXGUARD: Index-only Backdoor Vetting for Secure Federated PEFT of Large Language Models,\u201d ICML’26. [pdf] FEDERATED LEARNING\u00a0 D. \u0130sler, E. van Kempen, S. Hwang, N. Laoutaris, \u201cFedPoP: Federated Learning … Continue reading “Publications”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nPublications - Personal homepage<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/laoutaris.info\/index.php\/publications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications - Personal homepage\" \/>\n<meta property=\"og:description\" content=\"LLMs & RAG A. Goultiaev Tolstokorov, K. Mouratidis, J. Dogani, N. Laoutaris, \u201cRent-a-RAG: Embedding-Space Watermarks for Auditing Third-Party RAG,\u201d EMNLP’26. [pdf] J. Dogani, D. \u0130\u015fler, N. Laoutaris, \u201cINDEXGUARD: Index-only Backdoor Vetting for Secure Federated PEFT of Large Language Models,\u201d ICML’26. [pdf] FEDERATED LEARNING\u00a0 D. \u0130sler, E. van Kempen, S. Hwang, N. 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Prior to that I was director of data science at Eurecat and chief scientist of the Data Transparency Lab which I co-founded in 2014 during my 10 year tenure as a researcher and senior researcher of Telefonica Research in Barcelona. Before Telefonica, I was a postdoc fellow at Harvard University and Marie Curie postdoc fellow at Boston University. I got my PhD in computer science from the University of Athens in 2004. 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