Christos Dimitrakakis

Senior forskare at Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

Projects

2016–2019

Learning, privacy and the limits of computation

Christos Dimitrakakis Computing Science (Chalmers)
Swedish Research Council (VR)

2015–2017

SwissSenseSynergia (SNSF)

Christos Dimitrakakis Computing Science (Chalmers)
Aristide Tossou Computing Science (Chalmers)
Aikaterini Mitrokotsa Networks and Systems (Chalmers)
Swiss Federal Laboratories for Materials Science and Technology (Empa)

2015–2018

ACE: Approximate Algorithms and Computing Systems

Per Stenström Computer Engineering (Chalmers)
Johan Karlsson Computer Science and Engineering (Chalmers)
Sally A McKee Computer Engineering (Chalmers)
Ulf Assarsson Computer Engineering (Chalmers)
Ioannis Sourdis Computer Engineering (Chalmers)
Devdatt Dubhashi Computing Science (Chalmers)
Christos Dimitrakakis Computing Science (Chalmers)
Alexandra Angerd Computer Engineering (Chalmers)
Jacob Lidman Computer Engineering (Chalmers)
Behrooz Sangchoolie Computer Engineering (Chalmers)
Fatemeh Ayatolahi Computer Engineering (Chalmers)
Albin Eldstål Damlin Computer Engineering (Chalmers)
Miquel Pericas Computer Engineering (Chalmers)
Erik Sintorn Computer Engineering (Chalmers)
Swedish Research Council (VR)

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Publications

2017

Differential privacy for Bayesian inference through posterior sampling

Christos Dimitrakakis, Blaine E N Nelson, Zuhe Zhang et al
Journal of Machine Learning Research. Vol. 18 (1 March 2017)
Scientific journal article - peer reviewed
2017

Near-Optimal Blacklisting

Christos Dimitrakakis, Aikaterini Mitrokotsa,
Computers & security. Vol. 64 (1), p. 110-121
Scientific journal article - peer reviewed
2016

Optimal advertisement strategies for small and big companies

Aristide C. Y. Tossou, Christos Dimitrakakis,
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. 7th International Conference on e-Infrastructure and e-Services, AFRICOMM 2015; Cotonou; Benin; 15-16 December 2015. Vol. 171, p. 94-98
Conference paper - peer reviewed
2016

Synergistic user ↔ context analytics

A. Hossmann-Picu, Z. Li, Z. Zhao et al
Advances in Intelligent Systems and Computing
Chapter in monograph, book
2016

Algorithms for Differentially Private Multi-Armed Bandits

Aristide C. Y. Tossou, Christos Dimitrakakis,
30th AAAI Conference on Artificial Intelligence, AAAI 2016, Phoenix Convention CenterPhoenix, United States, 12-17 February 2016, p. 2087-2093
Conference paper - peer reviewed
2016

On the differential privacy of Bayesian inference

Zuhe Zhang, Benjamin I.P. Rubinstein, Christos Dimitrakakis et al
30th AAAI Conference on Artificial Intelligence, AAAI 2016, Phoenix Convention CenterPhoenix, United States, 12-17 February 2016, p. 2365-2371
Conference paper - peer reviewed
2015

Foreword - Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security

Christos Dimitrakakis, Aikaterini Mitrokotsa, A. Sinha et al
8th ACM Workshop on Artificial Intelligence and Security, AISec 2015 - co-located with CCS 2015; Denver; United States
Conference paper - non peer reviewed
2015

Differentially private, multi-agent multi-armed bandits

Aristide C. Y. Tossou, Christos Dimitrakakis,
European Workshop on Reinforcement Learning (EWRL-15)
Conference paper - peer reviewed
2015

Distance-Bounding Protocols: Are You Close Enough?

Christos Dimitrakakis, Aikaterini Mitrokotsa,
Ieee Security & Privacy. Vol. 13 (4), p. 47-51
Scientific journal article - peer reviewed
2015

Expected loss analysis for authentication in constrained channels

Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay et al
Journal of Computer Security. Vol. 23 (2), p. 309-329
Scientific journal article - peer reviewed
2014

Foreword - Proceedings of the ACM Conference on Computer and Communications Security

Christos Dimitrakakis, Aikaterini Mitrokotsa, B. Rubinstein et al
7th ACM Workshop Artificial Intelligence and Security, AISec 2014, Co-located with the ACM Conference on Computer and Communication Security, CCS 2014, Scottsdale, United States, 7 November 2014. Vol. 2014-November (November), p. ii
Conference paper - non peer reviewed
2014

Differential Privacy and Private Bayesian Inference.

Christos Dimitrakakis, Blaine Nelson, Ben Rubinstein et al
n Proceedings of the 19th Nordic Conference on Secure IT Systems (NordSec 2014), Poster, Tromso, Norway, October 2014., p. 289-290
Conference poster
2014

Generalised entropy MDPs and Minimax Regret

Emmanouil Androulakis, Christos Dimitrakakis,
NIPS 2014, From bad models to good policies workshop.
Conference paper - peer reviewed
2014

Usable ABC reinforcement learning

Christos Dimitrakakis, Nikolaos Tziortziotis,
NIPS 2014, ABC in Montreal workshop.
Conference poster
2014

The reinforcement learning competition

Christos Dimitrakakis, Nikolaos Tziortziotis,
Artificial Intelligence Magazine
Journal article - popular science
2014

Robust and private Bayesian inference

Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa et al
Lecture Notes in Artificial Intelligence: Algorithmic Learning Theory (ALT). 25th International Conference on Algorithmic Learning Theory (ALT), Bled, SLOVENIA, OCT 08-10, 2014. Vol. 8776, p. 291-305
Conference paper - peer reviewed
2014

On the Leakage of Information in Biometric Authentication

Elena Pagnin, Christos Dimitrakakis, Aysajan Abidin et al
In Proceedings of Indocrypt - 15th International Conference on Cryptology in India 2014, New Delhi, December 2014., p. 265-280
Conference paper - peer reviewed
2014

Cover Tree Bayesian Reinforcement Learning

N. Tziortziotis, Christos Dimitrakakis, K. Blekas et al
Journal of machine learning research. Vol. 15, p. 2313-2335
Scientific journal article - peer reviewed
2013

Summary/overview for artificial intelligence and security (AISec'13)

B.E.N. Nelson, Christos Dimitrakakis, E. Shi et al
Proceedings of the ACM Conference on Computer and Communications Security CCS 2013; Berlin; Germany; 4 November 2013 through 8 November 2013, p. 1483-1484
Conference paper - peer reviewed
2013

Proceedings of the ACM Conference on Computer and Communications Security: Foreword

B. Nelson, Christos Dimitrakakis, E. Shi et al
6th Annual ACM Workshop on Artificial Intelligence and Security, AISec 2013, Co-located with the 20th ACM Conference on Computer and Communications Security, CCS 2013, Berlin, Germany, 4 November 2013
Conference paper - non peer reviewed
2013

Generalization and Interference in Human Motor Control

Luca Lonini, Christos Dimitrakakis, Constantin Rothkopf et al
Computational and Robotic Models of the Hierarchical Organization of Behavior, p. 155-176
Chapter in monograph, book
2013

Intrusion detection in MANET using classification algorithms: The effects of cost and model selection

Aikaterini Mitrokotsa, Christos Dimitrakakis,
Ad Hoc Networks. Vol. 11 (1), p. 226-237
Scientific journal article - peer reviewed
2013

Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex

P. Zheng, Christos Dimitrakakis, J. Triesch et al
PLoS Computational Biology. Vol. 9 (1)
Scientific journal article - peer reviewed
2013

On selecting the nonce length in distance bounding protocols

Aikaterini Mitrokotsa, Pedro Periz-Lopez, Christos Dimitrakakis et al
The Computer Journal
Scientific journal article - peer reviewed
2013

Linear Bayesian reinforcement learning

Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas et al
IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence
Conference paper - peer reviewed
2013

Monte-Carlo utility estimates for Bayesian reinforcement learning

Christos Dimitrakakis,
52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, 10-13 December 2013, p. 7303-7308
Conference paper - peer reviewed
2013

Probabilistic inverse reinforcement learning in unknown environments

Aristide C. Y. Tossou, Christos Dimitrakakis,
Conference on Uncertainty in Artificial Intelligence, UAI 2013
Conference paper - peer reviewed
2013

Personalized news recommendation with context trees

Florent Garcin, Christos Dimitrakakis, Boi Faltings et al
ACM Recommender Systems Conference, RecSys 2013
Conference paper - peer reviewed
2013

ABC Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis,
JMLR W&CP (ICML 2013). Vol. 28 (3), p. 684–692
Conference paper - peer reviewed
2012

Guest editors' introduction: Special section on learning, games, and security

Christos Dimitrakakis, T. Karygiannis, Aikaterini Mitrokotsa et al
IEEE Transactions on Dependable and Secure Computing. Vol. 9 (4), p. 449-450
Scientific journal article - non peer reviewed
2012

Sparse reward processes

Christos Dimitrakakis,
Report
2012

DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems

Brammert Ottens, Christos Dimitrakakis, Boi Faltings et al
Conference on Artificial Ingelligence, AAAI 2012
Conference paper - peer reviewed
2012

Near-optimal Node Blacklisting in Adversarial Networks

Christos Dimitrakakis, Aikaterini Mitrokotsa,
Conference on Decision and Game Theory for Security, GameSec 2012
Conference poster
2012

Expected loss bounds for authentication in constrained channels

Christos Dimitrakakis, Aikaterini Mitrokotsa, S. Vaudenay et al
Proceedings - IEEE INFOCOM 2012, p. 478-485
Conference paper - peer reviewed
2011

Network Self-organization Explains the Distribution of Synaptic Efficacies in Neocortex

Pengsheng Zhang, Christos Dimitrakakis, Jochen Triesch et al
Proceedings of DevLeaNN: A Workshop on Development and Learning in Artificial Neural Networks
Conference poster
2011

Phoneme and sentence-level ensembles for speech recognition

Christos Dimitrakakis, S. Bengio,
Eurasip Journal on Audio, Speech, and Music Processing. Vol. 2011
Scientific journal article - peer reviewed
2011

Preference elicitation and inverse reinforcement learning

C.A. Rothkopf, Christos Dimitrakakis,
Machine Learning and Knowledge Discovery in Databases, ECML 2011
Conference paper - peer reviewed
2011

Bayesian multitask inverse reinforcement learning

Christos Dimitrakakis, Constantin Rothkopf,
EWRL 2011
Conference paper - peer reviewed
2011

Robust Bayesian reinforcement learning through tight lower bounds

Christos Dimitrakakis,
EWRL 2011
Conference paper - peer reviewed
2010

Proceedings of the 1st International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning (PSDML 2010)

Christos Dimitrakakis, Aris Gkoulalas-Divanis, Aikaterini Mitrokotsa et al
Monograph, book - edited
2010

Complexity of stochastic branch and bound methods for belief tree search in Bayesian reinforcement learning.

Christos Dimitrakakis,
International conference on Agents and Artificial intelligence (ICAART 2010),
Conference paper - peer reviewed
2010

Reid et al.'s distance bounding protocol and mafia fraud attacks over noisy channels

Aikaterini Mitrokotsa, Christos Dimitrakakis, P. Peris-Lopez et al
IEEE Communications Letters. Vol. 14 (2), p. 121-123
Scientific journal article - peer reviewed
2010

Efficient methods for near-optimal sequential decision making under uncertainty

Christos Dimitrakakis,
Interactive Collaborative Information Systems, Studies in Computational Intelligence Volume 281
Chapter in monograph, book
2010

Bayesian variable order Markov models

Christos Dimitrakakis,
AI-STATS 2010
Conference paper - peer reviewed
2010

Context model inference for large or partially observable MDPs

Christos Dimitrakakis,
ICML Workshop on reinforcement learning and search in very large spaces
Conference poster
2009

Intrusion detection using cost-sensitive classification

Aikaterini Mitrokotsa, Christos Dimitrakakis, C. Douligeris et al
Proceedings of the 3rd European Conference on Computer Network Defense, EC2ND 2007
Conference paper - peer reviewed
2009

Statistical decision making for authentication and intrusion detection

Christos Dimitrakakis, Aikaterini Mitrokotsa,
8th International Conference on Machine Learning and Applications, ICMLA 2009, p. 409-414
Conference paper - peer reviewed
2008

Cost-minimising strategies for data labelling: Optimal stopping and active learning

Christos Dimitrakakis, C. Savu-Krohn,
Foundations of Information and Knowledge Systems, FoIKS 2008
Conference paper - peer reviewed
2008

Algorithms and Bounds for Sampling-based Approximate Policy Iteration

Christos Dimitrakakis, Michail Lagoudakis,
EWRL 2008
Conference paper - peer reviewed
2008

Tree exploration for bayesian RL exploration

Christos Dimitrakakis,
2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, p. 1029-1034
Conference paper - peer reviewed
2008

Exploration in POMDPs

Christos Dimitrakakis,
Österreichische Gesellschaft für Artificial Intelligence Journal. Vol. 27 (1), p. 24-31
Scientific journal article - non peer reviewed
2008

Rollout sampling approximate policy iteration

Christos Dimitrakakis, M.G. Lagoudakis,
Machine Learning. Vol. 72 (3), p. 157-171
Scientific journal article - peer reviewed
2006

Nearly Optimal Exploration-Exploitation Decision Thresholds

Christos Dimitrakakis,
Artificial Neural Networks – ICANN 2006
Conference paper - peer reviewed
2006

Ensembles for sequence learning

Christos Dimitrakakis,
Doctoral thesis
2005

Boosting word error rates

Christos Dimitrakakis, S. Bengio,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. V, p. V501-V504
Conference paper - peer reviewed
2005

Gradient-based Estimates of Return Distributions

Christos Dimitrakakis,
PASCAL workshop on Principled Methods of Trading Exploration and Exploitation
Conference paper - peer reviewed
2005

Online adaptive policies for ensemble classifiers

Christos Dimitrakakis, S. Bengio,
Neurocomputing. Vol. 64 (1-4 SPEC. ISS.), p. 211-221
Scientific journal article - peer reviewed
2004

Boosting HMMs with an application to speech recognition

Christos Dimitrakakis, Samy Bengio,
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Conference paper - peer reviewed