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
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
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