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Privacy-Preserving Abuse Detection in Future Decentralised Online Social Networks
[chapter]
2016
Lecture Notes in Computer Science
Preserved Fulltext
We investigate the use of supervised learning techniques to detect abusive behavior and describe privacy-preserving protocols to compute the feature set required by abuse classification algorithms in a ...
Future online social networks need to not only protect sensitive data of their users, but also protect them from abusive behavior coming from malicious participants in the network. ...
Acknowledgments We thank the Renewable Freedom Foundation for supporting this research, the volunteers who annotated abuse and the anonymous reviewers. ...
doi:10.1007/978-3-319-47072-6_6
fatcat:ij2vso5vtve7bmzyi73dy2dhwe
Anchoring the value of Cryptocurrency
[article]
2020
arXiv
pre-print
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demands in the real world. ...
This limitation is caused by the dilemma between high performance and decentralisation (universal joinability). ...
and regulate the anonymous nodes by the financial mortgage. We bound the settings of Cryptocurrency with the amount of digital resources in the network. ...
arXiv:2001.08154v2
fatcat:oz7fa65r2bdfhftv26egt2xtqe
Anchoring the Value of Cryptocurrency
2020
2020 IEEE International Workshop on Blockchain Oriented Software Engineering (IWBOSE)
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demands in the real world. ...
This limitation is caused by the dilemma between high performance and decentralisation (universal joinability). ...
and regulate the anonymous nodes by the financial mortgage. We bound the settings of Cryptocurrency with the amount of digital resources in the network. ...
doi:10.1109/iwbose50093.2020.9050264
fatcat:solhfb2k2bb3fa2r5whq2z2i4y
Learning to Model Opponent Learning (Student Abstract)
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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We further show that opponent modelling can improve the performance of algorithmic agents in multi-agent settings. ...
Such an approach can reduce the variance of training signals for policy search algorithms. However, in the multi-agent setting, agents have an incentive to continually adapt and learn. ...
policies in the decentralised setting. ...
doi:10.1609/aaai.v34i10.7157
fatcat:i665llqczre65dcxadzbhn3mya
Fertile soil: explaining variation in the success of Green parties
2018
West European Politics
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The article also shows that regional decentralisation helps Green parties, but electoral systems have little effect on their vote share. ...
Comparative political science has largely ignored the marked cross-national variation in Green party electoral performance. ...
In addition, we would like to thank the anonymous reviewers of this article as well as the audience at the 2018 Political Studies Annual International Conference, where a draft of this paper was presented ...
doi:10.1080/01402382.2018.1521673
fatcat:te4lvt5mp5gwto5i2qzivoan5q
Learning Complex Multi-Agent Policies in Presence of an Adversary
[article]
2020
arXiv
pre-print
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In recent years, there has been some outstanding work on applying deep reinforcement learning to multi-agent settings. Often in such multi-agent scenarios, adversaries can be present. ...
In this work, we consider the scenario of multi-agent deception in which multiple agents need to learn to cooperate and communicate in order to deceive an adversary. ...
This work has been funded in part by DARPA OFFSET award HR00111820029. ...
arXiv:2008.07698v2
fatcat:uhy7zj3d7nhbpaj5u6xymj2pda
Unravelling Ariadne's Thread: Exploring the Threats of Decentralised DNS
2020
IEEE Access
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This situation has sparked a wide range of decentralisation initiatives with blockchain technology being among the most prominent and successful innovations. ...
In this work we present the emerging threat landscape of blockchain-based DNS and we empirically validate the threats with real-world data. ...
In this attack, the adversary tries to exploit the fact that a typo in a word may result in a word in another language. ...
doi:10.1109/access.2020.3004727
fatcat:wvydbzpl2zgfrjwdv3ngn7nxha
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning
2020
IEEE Transactions on Dependable and Secure Computing
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2020 pre-print arXiv:2007.09370v1 fatcat:hsnv3ggsybgkjdck2gohah435e
In particular, we build a fair and differentially private decentralised deep learning framework called FDPDDL, which enables parties to derive more accurate local models in a fair and private manner by ...
using our developed two-stage scheme: during the initialisation stage, artificial samples generated by Differentially Private Generative Adversarial Network (DPGAN) are used to mutually benchmark the ...
Decentralised deep learning: Decentralised framework is much different than server-based framework, in the sense that it is purely decentralised without relying on any central servers, as exemplified in ...
doi:10.1109/tdsc.2020.3006287
fatcat:kwhzr3qj5vbtlehkh4areejsoa
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators
[article]
2020
arXiv
pre-print
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In order to improve privacy and limit the need for the coordinator, we propose a reformulation of the coordination framework as a decentralised algorithm, employing the Alternating Direction Method of ...
Given the rapid rise of electric vehicles (EVs) worldwide, and the ambitious targets set for the near future, the management of large EV fleets must be seen as a priority. ...
All the data generated and discussed in this work is publicly available (Perez-Diaz, 2019). ...
arXiv:1810.07063v2
fatcat:xpbs2ikmhbcm7mjb5j67ivqjaq
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators
2020
The Journal of Artificial Intelligence Research
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In order to improve privacy and limit the need for the coordinator, we propose a reformulation of the coordination framework as a decentralised algorithm, employing the Alternating Direction Method of ...
Given the rapid rise of electric vehicles (EVs) worldwide, and the ambitious targets set for the near future, the management of large EV fleets must be seen as a priority. ...
All the data generated and discussed in this work is publicly available (Perez-Diaz, 2019). ...
doi:10.1613/jair.1.11573
fatcat:6sm5mzzexffqddeiwl5hoba2qu
Delegated RingCT: faster anonymous transactions
[article]
2020
arXiv
pre-print
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reasonable trade-off for being able to develop an anonymous decentralised cryptocurrency that is faster and more scalable than existing ones. ...
Although Delegated RingCT doesn't have the same degree of anonymity as other RingCT constructions, we argue that the benefits that the compatibility with DPoS consensus mechanisms brings constitutes a ...
An adversary is unable to produce k + 1 non-linked valid transactions on a combined anonymity set of k input accounts. ...
arXiv:2011.14159v2
fatcat:6jzir3psp5dndgns6d7ezjqcuq
Learning to Model Opponent Learning
[article]
2020
arXiv
pre-print
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We further show that opponent modelling can improve the performance of algorithmic agents in multi-agent settings. ...
Such an approach can reduce the variance of training signals for policy search algorithms. However, in the multi-agent setting, agents have an incentive to continually adapt and learn. ...
' policies in the decentralised setting. ...
arXiv:2006.03923v1
fatcat:ljhey33ubja75baqfm4f5nyena
Table of Contents
2021
2021 IEEE 34th Computer Security Foundations Symposium (CSF)
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in the Decentralised-Adversary Setting 157 Robert Künnemann (CISPA Helmholtz Center for Information Security), Deepak Garg (MPI-SWS), and Michael Backes (CISPA Helmholtz Center for Information Security ...
Fixing the Achilles Heel of E-Voting: The Bulletin Board
125
Lucca Hirschi (Inria & LORIA), Lara Schmid (DFINITY), and David Basin
(ETH Zurich)
Election Verifiability Revisited: Automated Security ...
doi:10.1109/csf51468.2021.9535677
fatcat:rry6zpb36neixkfgty76aaifda
Unravelling Ariadne's Thread: Exploring the Threats of Decentalised DNS
[article]
2019
arXiv
pre-print
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This has sparked a wide range of decentralisation initiatives with perhaps the most profound and successful being the blockchain technology. ...
In this regard, we explore a part of the blockchain DNS ecosystem in terms of the browser extensions using such technologies, the chain itself (Namecoin and Emercoin), the domains, and users which have ...
The content of this article does not reflect the official opinion of the European Union. Responsibility for the information and views expressed therein lies entirely with the authors. ...
arXiv:1912.03552v1
fatcat:xpefdbo3x5hvvln33ar5ubkswu
Off-Line Karma: A Decentralized Currency for Peer-to-peer and Grid Applications
[chapter]
2005
Lecture Notes in Computer Science
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We present a completely decentralised, off-line karma implementation for P2P and grid systems, that detects double-spending and other types of fraud under varying adversarial scenarios. ...
The system is designed to allow nodes to join and leave the system at arbitrary times. ...
Therefore, in certain situations PPay converges to a system with a centralised accounting bank. ...
doi:10.1007/11496137_25
fatcat:jovoh6ajzrf2vfybox3qcdx2ne
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