Tomás Pevný

According to our database, Tomás Pevný authored at least 98 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Classification with costly features in hierarchical deep sets.

Jaromír Janisch, Tomás Pevný, Viliam Lisý

Mach. Learn., July, 2024

On the Economics of Adversarial Machine Learning.

Florian Merkle, Maximilian Samsinger, Pascal Schöttle, Tomás Pevný

IEEE Trans. Inf. Forensics Secur., 2024

Malicious Internet Entity Detection Using Local Graph Inference.

Simon Mandlík, Tomás Pevný, Václav Smídl, Lukás Bajer

IEEE Trans. Inf. Forensics Secur., 2024

Deep anomaly detection on set data: Survey and comparison.

Michaela Masková, Matej Zorek, Tomás Pevný, Václav Smídl

Pattern Recognit., 2024

GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings.

Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný

CoRR, 2024

Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis.

Rony Abecidan, Vincent Itier, Jérémie Boulanger, Patrick Bas, Tomás Pevný

CoRR, 2024

Generating Likely Counterfactuals Using Sum-Product Networks.

Jiri Nemecek, Tomás Pevný, Jakub Marecek

CoRR, 2024

Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs.

Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The Non-Zero-Sum Game of Steganography in Heterogeneous Environments.

Quentin Giboulot, Tomás Pevný, Andrew D. Ker

IEEE Trans. Inf. Forensics Secur., 2023

Improving the Validity of Decision Trees as Explanations.

Jiri Nemecek, Tomás Pevný, Jakub Marecek

CoRR, 2023

Is AUC the best measure for practical comparison of anomaly detectors?

Vít Skvára, Tomás Pevný, Václav Smídl

CoRR, 2023

Leveraging Data Geometry to Mitigate CSM in Steganalysis.

Rony Abecidan, Vincent Itier, Jérémie Boulanger, Patrick Bas, Tomás Pevný

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal.

Leah Chrestien, Stefan Edelkamp, Antonín Komenda, Tomás Pevný

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios.

Jaromír Janisch, Tomás Pevný, Viliam Lisý

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Heuristic Search Optimisation Using Planning and Curriculum Learning Techniques.

Leah Chrestien, Tomás Pevný, Stefan Edelkamp, Antonín Komenda

Proceedings of the Progress in Artificial Intelligence, 2023

2022

Comparison of Anomaly Detectors: Context Matters.

Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl

IEEE Trans. Neural Networks Learn. Syst., 2022

Backpack: A Backpropagable Adversarial Embedding Scheme.

Solène Bernard, Patrick Bas, John Klein, Tomás Pevný

IEEE Trans. Inf. Forensics Secur., 2022

General framework for binary classification on top samples.

Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný

Optim. Methods Softw., 2022

JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data.

Simon Mandlík, Matej Racinsky, Viliam Lisý, Tomás Pevný

J. Mach. Learn. Res., 2022

A Differentiable Loss Function for Learning Heuristics in A.

Leah Chrestien, Tomás Pevný, Antonín Komenda, Stefan Edelkamp

CoRR, 2022

Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data.

Tomás Pevný, Viliam Lisý, Branislav Bosanský, Petr Somol, Michal Pechoucek

CoRR, 2022

Using Set Covering to Generate Databases for Holistic Steganalysis.

Rony Abecidan, Vincent Itier, Jérémie Boulanger, Patrick Bas, Tomás Pevný

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

2021

Explicit Optimization of min max Steganographic Game.

Solène Bernard, Patrick Bas, John Klein, Tomás Pevný

IEEE Trans. Inf. Forensics Secur., 2021

Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning.

Leah Chrestien, Tomás Pevný, Antonín Komenda, Stefan Edelkamp

CoRR, 2021

Fitting large mixture models using stochastic component selection.

Milan Papez, Tomás Pevný, Václav Smídl

CoRR, 2021

Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data.

Simon Mandlík, Matej Racinsky, Viliam Lisý, Tomás Pevný

CoRR, 2021

Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks.

Simon Mandlík, Tomás Pevný

CoRR, 2021

Optimizing Additive Approximations of Non-additive Distortion Functions.

Solène Bernard, Patrick Bas, Tomás Pevný, John Klein

Proceedings of the IH&MMSec '21: ACM Workshop on Information Hiding and Multimedia Security, 2021

When Should You Defend Your Classifier? - - A Game-Theoretical Analysis of Countermeasures Against Adversarial Examples.

Maximilian Samsinger, Florian Merkle, Pascal Schöttle, Tomás Pevný

Proceedings of the Decision and Game Theory for Security - 12th International Conference, 2021

2020

Classification with costly features as a sequential decision-making problem.

Jaromír Janisch, Tomás Pevný, Viliam Lisý

Mach. Learn., 2020

Anomaly explanation with random forests.

Martin Kopp, Tomás Pevný, Martin Holena

Expert Syst. Appl., 2020

Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks.

Jaromír Janisch, Tomás Pevný, Viliam Lisý

CoRR, 2020

Nested Multiple Instance Learning in Modelling of HTTP network traffic.

Tomás Pevný, Marek Dedic

CoRR, 2020

Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations.

Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Neural Power Units.

Niklas Heim, Tomás Pevný, Václav Smídl

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Loss Functions for Clustering in Multi-instance Learning.

Marek Dedic, Tomás Pevný, Lukás Bajer, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020

2019

Joint detection of malicious domains and infected clients.

Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer

Mach. Learn., 2019

Rodent: Relevance determination in ODE.

Niklas Heim, Václav Smídl, Tomás Pevný

CoRR, 2019

Deep Reinforcement Learning with Explicitly Represented Knowledge and Variable State and Action Spaces.

Jaromír Janisch, Tomás Pevný, Viliam Lisý

CoRR, 2019

Approximation capability of neural networks on spaces of probability measures and tree-structured domains.

Tomás Pevný, Vojtech Kovarík

CoRR, 2019

Anomaly scores for generative models.

Václav Smídl, Jan Bím, Tomás Pevný

CoRR, 2019

Exploiting Adversarial Embeddings for Better Steganography.

Solène Bernard, Tomás Pevný, Patrick Bas, John Klein

Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2019

Classification with Costly Features Using Deep Reinforcement Learning.

Jaromír Janisch, Tomás Pevný, Viliam Lisý

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Network Traffic Fingerprinting Based on Approximated Kernel Two-Sample Test.

Jan Kohout, Tomás Pevný

IEEE Trans. Inf. Forensics Secur., 2018

Multiple instance learning for malware classification.

Jan Stiborek, Tomás Pevný, Martin Rehák

Expert Syst. Appl., 2018

Are generative deep models for novelty detection truly better?

Vít Skvára, Tomás Pevný, Václav Smídl

CoRR, 2018

Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems.

Vyacheslav Kungurtsev, Tomás Pevný

CoRR, 2018

Algorithms for solving optimization problems arising from deep neural net models: smooth problems.

Vyacheslav Kungurtsev, Tomás Pevný

CoRR, 2018

Probabilistic analysis of dynamic malware traces.

Jan Stiborek, Tomás Pevný, Martin Rehák

Comput. Secur., 2018

Exploring Non-Additive Distortion in Steganography.

Tomás Pevný, Andrew D. Ker

Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, 2018

2017

Reducing false positives of network anomaly detection by local adaptive multivariate smoothing.

Martin Grill, Tomás Pevný, Martin Rehák

J. Comput. Syst. Sci., 2017

Malware Detection by Analysing Network Traffic with Neural Networks.

Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer

Proceedings of the 2017 IEEE Security and Privacy Workshops, 2017

Malware Discovery Using Behaviour-Based Exploration of Network Traffic.

Jakub Lokoc, Tomás Grosup, Premysl Cech, Tomás Pevný, Tomás Skopal

Proceedings of the Similarity Search and Applications - 10th International Conference, 2017

Malware Detection by Analysing Encrypted Network Traffic with Neural Networks.

Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Using Neural Network Formalism to Solve Multiple-Instance Problems.

Tomás Pevný, Petr Somol

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Optimal Strategies for Detecting Data Exfiltration by Internal and External Attackers.

Karel Durkota, Viliam Lisý, Christopher Kiekintveld, Karel Horák, Branislav Bosanský, Tomás Pevný

Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

2016

Loda: Lightweight on-line detector of anomalies.

Tomás Pevný

Mach. Learn., 2016

Using Behavioral Similarity for Botnet Command-and-Control Discovery.

Jan Jusko, Martin Rehák, Jan Stiborek, Jan Kohout, Tomás Pevný

IEEE Intell. Syst., 2016

Learning combination of anomaly detectors for security domain.

Martin Grill, Tomás Pevný

Comput. Networks, 2016

Passive NAT detection using HTTP access logs.

Tomás Komárek, Martin Grill, Tomás Pevný

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2016

Feature Extraction and Malware Detection on Large HTTPS Data Using MapReduce.

Premysl Cech, Jan Kohout, Jakub Lokoc, Tomás Komárek, Jakub Marousek, Tomás Pevný

Proceedings of the Similarity Search and Applications - 9th International Conference, 2016

k-NN Classification of Malware in HTTPS Traffic Using the Metric Space Approach.

Jakub Lokoc, Jan Kohout, Premysl Cech, Tomás Skopal, Tomás Pevný

Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

Malicons: Detecting Payload in Favicons.

Tomás Pevný, Martin Kopp, Jakub Kroustek, Andrew D. Ker

Proceedings of the Media Watermarking, 2016

Rethinking Optimal Embedding.

Andrew D. Ker, Tomás Pevný, Patrick Bas

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security, 2016

Discriminative Models for Multi-instance Problems with Tree Structure.

Tomás Pevný, Petr Somol

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016

2015

Optimizing pooling function for pooled steganalysis.

Tomás Pevný, Ivan Nikolaev

Proceedings of the 2015 IEEE International Workshop on Information Forensics and Security, 2015

Is ensemble classifier needed for steganalysis in high-dimensional feature spaces?

Rémi Cogranne, Vahid Sedighi, Jessica J. Fridrich, Tomás Pevný

Proceedings of the 2015 IEEE International Workshop on Information Forensics and Security, 2015

Towards dependable steganalysis.

Tomás Pevný, Andrew D. Ker

Proceedings of the Media Watermarking, 2015

Automatic discovery of web servers hosting similar applications.

Jan Kohout, Tomás Pevný

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Unsupervised detection of malware in persistent web traffic.

Jan Kohout, Tomás Pevný

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

The Steganographer is the Outlier: Realistic Large-Scale Steganalysis.

Andrew D. Ker, Tomás Pevný

IEEE Trans. Inf. Forensics Secur., 2014

Randomized Operating Point Selection in Adversarial Classification.

Viliam Lisý, Robert Kessl, Tomás Pevný

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A mishmash of methods for mitigating the model mismatch mess.

Andrew D. Ker, Tomás Pevný

Proceedings of the Media Watermarking, 2014

Steganographic key leakage through payload metadata.

Tomás Pevný, Andrew D. Ker

Proceedings of the ACM Information Hiding and Multimedia Security Workshop, 2014

2013

The challenges of rich features in universal steganalysis.

Tomás Pevný, Andrew D. Ker

Proceedings of the Media Watermarking, 2013

Moving steganography and steganalysis from the laboratory into the real world.

Andrew D. Ker, Patrick Bas, Rainer Böhme, Rémi Cogranne, Scott Craver, Tomás Filler, Jessica J. Fridrich, Tomás Pevný

Proceedings of the ACM Information Hiding and Multimedia Security Workshop, 2013

Attacking the IDS learning processes.

Tomás Pevný, Martin Komon, Martin Rehák

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

From Blind to Quantitative Steganalysis.

Tomás Pevný, Jessica J. Fridrich, Andrew D. Ker

IEEE Trans. Inf. Forensics Secur., 2012

Detecting anomalous network hosts by means of PCA.

Tomás Pevný, Martin Rehák, Martin Grill

Proceedings of the 2012 IEEE International Workshop on Information Forensics and Security, 2012

Batch steganography in the real world.

Andrew David Ker, Tomás Pevný

Proceedings of the Multimedia and Security Workshop, 2012

Co-occurrence steganalysis in high dimensions.

Tomás Pevný

Proceedings of the Media Watermarking, 2012

Identifying a steganographer in realistic and heterogeneous data sets.

Andrew D. Ker, Tomás Pevný

Proceedings of the Media Watermarking, 2012

2011

Detecting messages of unknown length.

Tomás Pevný

Proceedings of the Media Watermarking, 2011

A new paradigm for steganalysis via clustering.

Andrew D. Ker, Tomás Pevný

Proceedings of the Media Watermarking, 2011

"Break Our Steganographic System": The Ins and Outs of Organizing BOSS.

Patrick Bas, Tomás Filler, Tomás Pevný

Proceedings of the Information Hiding - 13th International Conference, 2011

2010

Steganalysis by subtractive pixel adjacency matrix.

Tomás Pevný, Patrick Bas, Jessica J. Fridrich

IEEE Trans. Inf. Forensics Secur., 2010

Modern steganalysis can detect YASS.

Jan Kodovský, Tomás Pevný, Jessica J. Fridrich

Proceedings of the Media Forensics and Security II, 2010

Using High-Dimensional Image Models to Perform Highly Undetectable Steganography.

Tomás Pevný, Tomás Filler, Patrick Bas

Proceedings of the Information Hiding - 12th International Conference, 2010

2008

Multiclass Detector of Current Steganographic Methods for JPEG Format.

Tomás Pevný, Jessica J. Fridrich

IEEE Trans. Inf. Forensics Secur., 2008

Detection of Double-Compression in JPEG Images for Applications in Steganography.

Tomás Pevný, Jessica J. Fridrich

IEEE Trans. Inf. Forensics Secur., 2008

Estimation of primary quantization matrix for steganalysis of double-compressed JPEG images.

Tomás Pevný, Jessica J. Fridrich

Proceedings of the Security, 2008

Novelty detection in blind steganalysis.

Tomás Pevný, Jessica J. Fridrich

Proceedings of the 10th workshop on Multimedia & Security, 2008

The square root law of steganographic capacity.

Andrew D. Ker, Tomás Pevný, Jan Kodovský, Jessica J. Fridrich

Proceedings of the 10th workshop on Multimedia & Security, 2008

Benchmarking for Steganography.

Tomás Pevný, Jessica J. Fridrich

Proceedings of the Information Hiding, 10th International Workshop, 2008

2007

Merging Markov and DCT features for multi-class JPEG steganalysis.

Tomás Pevný, Jessica J. Fridrich

Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents IX, 2007

Statistically undetectable jpeg steganography: dead ends challenges, and opportunities.

Jessica J. Fridrich, Tomás Pevný, Jan Kodovský

Proceedings of the 9th workshop on Multimedia & Security, 2007

2006

Multi-class blind steganalysis for JPEG images.

Tomás Pevný, Jessica J. Fridrich

Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VIII, 2006

2005

Towards Multi-class Blind Steganalyzer for JPEG Images.

Tomás Pevný, Jessica J. Fridrich

Proceedings of the Digital Watermarking, 4th International Workshop, 2005