Tomás Pevný - RankMe

132 papers A* 7A 1B 3C 9Misc 2Journal 69Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intersectional Fairness via Mixed-Integer Optimization. CoRR Jiri Nemecek, Mark Kozdoba, Illia Kryvoviaz, Tomás Pevný, Jakub Marecek
2025	—	`conf`	Bias Detection via Maximum Subgroup Discrepancy. KDD (2) Jiri Nemecek, Mark Kozdoba, Illia Kryvoviaz, Tomás Pevný, Jakub Marecek
2025	J	`jnl`	Bias Detection via Maximum Subgroup Discrepancy. CoRR Jiri Nemecek, Mark Kozdoba, Illia Kryvoviaz, Tomás Pevný, Jakub Marecek
2025	A*	`conf`	Differentiable Distance Between Hierarchically-Structured Data. ICDM Matej Zorek, Tomás Pevný, Václav Smídl
2025	J	`jnl`	Distillation of a tractable model from the VQ-VAE. CoRR Armin Hadzic, Milan Papez, Tomás Pevný
2025	A*	`conf`	Generating Likely Counterfactuals Using Sum-Product Networks. ICLR Jiri Nemecek, Tomás Pevný, Jakub Marecek
2025	A	`conf`	Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs. UAI Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2025	J	`jnl`	Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs. CoRR Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2025	J	`jnl`	Sparse Probabilistic Graph Circuits. CoRR Martin Rektoris, Milan Papez, Václav Smídl, Tomás Pevný
2025	A*	`conf`	State Encodings for GNN-Based Lifted Planners. AAAI Rostislav Horcík, Gustav Sír, Vítezslav Simek, Tomás Pevný
2025	J	`jnl`	Targeted Pooled Latent-Space Steganalysis Applied to Generative Steganography, with a Fix. CoRR Etienne Levecque, Aurélien Noirault, Tomás Pevný, Jan Butora, Patrick Bas, Rémi Cogranne
2024	J	`jnl`	Anomaly detection in multifactor data. Neural Comput. Appl. Vít Skvára, Václav Smídl, Tomás Pevný
2024	J	`jnl`	Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis. CoRR Rony Abecidan, Vincent Itier, Jérémie Boulanger, Patrick Bas, Tomás Pevný
2024	J	`jnl`	Classification with costly features in hierarchical deep sets. Mach. Learn. Jaromír Janisch, Tomás Pevný, Viliam Lisý
2024	J	`jnl`	Deep anomaly detection on set data: Survey and comparison. Pattern Recognit. Michaela Masková, Matej Zorek, Tomás Pevný, Václav Smídl
2024	J	`jnl`	Generating Likely Counterfactuals Using Sum-Product Networks. CoRR Jiri Nemecek, Tomás Pevný, Jakub Marecek
2024	J	`jnl`	GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings. CoRR Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2024	J	`jnl`	Malicious Internet Entity Detection Using Local Graph Inference. CoRR Simon Mandlík, Tomás Pevný, Václav Smídl, Lukás Bajer
2024	J	`jnl`	Malicious Internet Entity Detection Using Local Graph Inference. IEEE Trans. Inf. Forensics Secur. Simon Mandlík, Tomás Pevný, Václav Smídl, Lukás Bajer
2024	J	`jnl`	On the Economics of Adversarial Machine Learning. IEEE Trans. Inf. Forensics Secur. Florian Merkle, Maximilian Samsinger, Pascal Schöttle, Tomás Pevný
2024	A*	`conf`	Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs. ICLR Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2024	J	`jnl`	Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs. CoRR Milan Papez, Martin Rektoris, Tomás Pevný, Václav Smídl
2023	—	`conf`	Heuristic Search Optimisation Using Planning and Curriculum Learning Techniques. EPIA (1) Leah Chrestien, Tomás Pevný, Stefan Edelkamp, Antonín Komenda
2023	J	`jnl`	Improving the Validity of Decision Trees as Explanations. CoRR Jiri Nemecek, Tomás Pevný, Jakub Marecek
2023	J	`jnl`	Is AUC the best measure for practical comparison of anomaly detectors? CoRR Vít Skvára, Tomás Pevný, Václav Smídl
2023	—	`conf`	Leveraging Data Geometry to Mitigate CSM in Steganalysis. WIFS Rony Abecidan, Vincent Itier, Jérémie Boulanger, Patrick Bas, Tomás Pevný
2023	J	`jnl`	Leveraging Data Geometry to Mitigate CSM in Steganalysis. CoRR Rony Abecidan, Vincent Itier, Jérémie Boulanger, Patrick Bas, Tomás Pevný
2023	—	`conf`	NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios. ESORICS Workshops (2) Jaromír Janisch, Tomás Pevný, Viliam Lisý
2023	J	`jnl`	NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios. CoRR Jaromír Janisch, Tomás Pevný, Viliam Lisý
2023	A*	`conf`	Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal. NeurIPS Leah Chrestien, Stefan Edelkamp, Antonín Komenda, Tomás Pevný
2023	J	`jnl`	Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal. CoRR Leah Chrestien, Tomás Pevný, Stefan Edelkamp, Antonín Komenda
2023	J	`jnl`	The Non-Zero-Sum Game of Steganography in Heterogeneous Environments. IEEE Trans. Inf. Forensics Secur. Quentin Giboulot, Tomás Pevný, Andrew D. Ker
2022	J	`jnl`	A Differentiable Loss Function for Learning Heuristics in A. CoRR Leah Chrestien, Tomás Pevný, Antonín Komenda, Stefan Edelkamp
2022	J	`jnl`	Backpack: A Backpropagable Adversarial Embedding Scheme. IEEE Trans. Inf. Forensics Secur. Solène Bernard, Patrick Bas, John Klein, Tomás Pevný
2022	J	`jnl`	Comparison of Anomaly Detectors: Context Matters. IEEE Trans. Neural Networks Learn. Syst. Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl
2022	J	`jnl`	Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data. CoRR Tomás Pevný, Viliam Lisý, Branislav Bosanský, Petr Somol, Michal Pechoucek
2022	J	`jnl`	General framework for binary classification on top samples. Optim. Methods Softw. Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný
2022	J	`jnl`	JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data. J. Mach. Learn. Res. Simon Mandlík, Matej Racinsky, Viliam Lisý, Tomás Pevný
2022	—	`conf`	Using Set Covering to Generate Databases for Holistic Steganalysis. WIFS Rony Abecidan, Vincent Itier, Jérémie Boulanger, Patrick Bas, Tomás Pevný
2022	J	`jnl`	Using Set Covering to Generate Databases for Holistic Steganalysis. CoRR Rony Abecidan, Vincent Itier, Jérémie Boulanger, Patrick Bas, Tomás Pevný
2021	J	`jnl`	Explicit Optimization of min max Steganographic Game. IEEE Trans. Inf. Forensics Secur. Solène Bernard, Patrick Bas, John Klein, Tomás Pevný
2021	J	`jnl`	Fitting large mixture models using stochastic component selection. CoRR Milan Papez, Tomás Pevný, Václav Smídl
2021	J	`jnl`	Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning. CoRR Leah Chrestien, Tomás Pevný, Antonín Komenda, Stefan Edelkamp
2021	C	`ed.`	IH&MMSec '21: ACM Workshop on Information Hiding and Multimedia Security, Virtual Event, Belgium, June, 22-25, 2021 IH&MMSec Dirk Borghys, Patrick Bas, Luisa Verdoliva, Tomás Pevný, Bin Li, Jennifer Newman
2021	J	`jnl`	Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks. CoRR Simon Mandlík, Tomás Pevný
2021	J	`jnl`	Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data. CoRR Simon Mandlík, Matej Racinsky, Viliam Lisý, Tomás Pevný
2021	C	`conf`	Optimizing Additive Approximations of Non-additive Distortion Functions. IH&MMSec Solène Bernard, Patrick Bas, Tomás Pevný, John Klein
2021	J	`jnl`	When Should You Defend Your Classifier - A Game-theoretical Analysis of Countermeasures against Adversarial Examples. CoRR Maximilian Samsinger, Florian Merkle, Pascal Schöttle, Tomás Pevný
2021	—	`conf`	When Should You Defend Your Classifier? - - A Game-Theoretical Analysis of Countermeasures Against Adversarial Examples. GameSec Maximilian Samsinger, Florian Merkle, Pascal Schöttle, Tomás Pevný
2020	J	`jnl`	Anomaly explanation with random forests. Expert Syst. Appl. Martin Kopp, Tomás Pevný, Martin Holena
2020	J	`jnl`	Classification with costly features as a sequential decision-making problem. Mach. Learn. Jaromír Janisch, Tomás Pevný, Viliam Lisý
2020	J	`jnl`	Comparison of Anomaly Detectors: Context Matters. CoRR Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl
2020	J	`jnl`	General Framework for Binary Classification on Top Samples. CoRR Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný
2020	C	`ed.`	IH&MMSec '20: ACM Workshop on Information Hiding and Multimedia Security, Denver, CO, USA, June 22-24, 2020 IH&MMSec Christian Riess, Franziska Schirrmacher, Irene Amerini, Paolo Bestagini, Tomás Pevný
2020	—	`conf`	Loss Functions for Clustering in Multi-instance Learning. ITAT Marek Dedic, Tomás Pevný, Lukás Bajer, Martin Holena
2020	J	`jnl`	Nested Multiple Instance Learning in Modelling of HTTP network traffic. CoRR Tomás Pevný, Marek Dedic
2020	A*	`conf`	Neural Power Units. NeurIPS Niklas Heim, Tomás Pevný, Václav Smídl
2020	J	`jnl`	Neural Power Units. CoRR Niklas Heim, Tomás Pevný, Václav Smídl
2020	—	`conf`	Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. PGM Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber
2020	J	`jnl`	Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. CoRR Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber
2020	J	`jnl`	Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks. CoRR Jaromír Janisch, Tomás Pevný, Viliam Lisý
2019	J	`jnl`	Anomaly scores for generative models. CoRR Václav Smídl, Jan Bím, Tomás Pevný
2019	J	`jnl`	Approximation capability of neural networks on spaces of probability measures and tree-structured domains. CoRR Tomás Pevný, Vojtech Kovarík
2019	A*	`conf`	Classification with Costly Features Using Deep Reinforcement Learning. AAAI Jaromír Janisch, Tomás Pevný, Viliam Lisý
2019	J	`jnl`	Classification with Costly Features as a Sequential Decision-Making Problem. CoRR Jaromír Janisch, Tomás Pevný, Viliam Lisý
2019	J	`jnl`	Deep Reinforcement Learning with Explicitly Represented Knowledge and Variable State and Action Spaces. CoRR Jaromír Janisch, Tomás Pevný, Viliam Lisý
2019	C	`conf`	Exploiting Adversarial Embeddings for Better Steganography. IH&MMSec Solène Bernard, Tomás Pevný, Patrick Bas, John Klein
2019	J	`jnl`	Joint Detection of Malicious Domains and Infected Clients. CoRR Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer
2019	J	`jnl`	Joint detection of malicious domains and infected clients. Mach. Learn. Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer
2019	J	`jnl`	Rodent: Relevance determination in ODE. CoRR Niklas Heim, Václav Smídl, Tomás Pevný
2018	J	`jnl`	Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems. CoRR Vyacheslav Kungurtsev, Tomás Pevný
2018	J	`jnl`	Algorithms for solving optimization problems arising from deep neural net models: smooth problems. CoRR Vyacheslav Kungurtsev, Tomás Pevný
2018	J	`jnl`	Are generative deep models for novelty detection truly better? CoRR Vít Skvára, Tomás Pevný, Václav Smídl
2018	C	`conf`	Exploring Non-Additive Distortion in Steganography. IH&MMSec Tomás Pevný, Andrew D. Ker
2018	J	`jnl`	Multiple instance learning for malware classification. Expert Syst. Appl. Jan Stiborek, Tomás Pevný, Martin Rehák
2018	J	`jnl`	Network Traffic Fingerprinting Based on Approximated Kernel Two-Sample Test. IEEE Trans. Inf. Forensics Secur. Jan Kohout, Tomás Pevný
2018	J	`jnl`	Probabilistic analysis of dynamic malware traces. Comput. Secur. Jan Stiborek, Tomás Pevný, Martin Rehák
2017	J	`jnl`	Classification with Costly Features using Deep Reinforcement Learning. CoRR Jaromír Janisch, Tomás Pevný, Viliam Lisý
2017	J	`jnl`	Discriminative models for multi-instance problems with tree-structure. CoRR Tomás Pevný, Petr Somol
2017	—	`conf`	Malware Detection by Analysing Encrypted Network Traffic with Neural Networks. ECML/PKDD (2) Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer
2017	—	`conf`	Malware Detection by Analysing Network Traffic with Neural Networks. IEEE Symposium on Security and Privacy Workshops Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer
2017	B	`conf`	Malware Discovery Using Behaviour-Based Exploration of Network Traffic. SISAP Jakub Lokoc, Tomás Grosup, Premysl Cech, Tomás Pevný, Tomás Skopal
2017	J	`jnl`	Multiple Instance Learning for Malware Classification. CoRR Jan Stiborek, Tomás Pevný, Martin Rehák
2017	—	`conf`	Optimal Strategies for Detecting Data Exfiltration by Internal and External Attackers. GameSec Karel Durkota, Viliam Lisý, Christopher Kiekintveld, Karel Horák, Branislav Bosanský, Tomás Pevný
2017	J	`jnl`	Reducing false positives of network anomaly detection by local adaptive multivariate smoothing. J. Comput. Syst. Sci. Martin Grill, Tomás Pevný, Martin Rehák
2017	—	`conf`	Using Neural Network Formalism to Solve Multiple-Instance Problems. ISNN (1) Tomás Pevný, Petr Somol
2016	—	`conf`	Discriminative Models for Multi-instance Problems with Tree Structure. AISec@CCS Tomás Pevný, Petr Somol
2016	B	`conf`	Feature Extraction and Malware Detection on Large HTTPS Data Using MapReduce. SISAP Premysl Cech, Jan Kohout, Jakub Lokoc, Tomás Komárek, Jakub Marousek, Tomás Pevný
2016	J	`jnl`	Learning combination of anomaly detectors for security domain. Comput. Networks Martin Grill, Tomás Pevný
2016	J	`jnl`	Loda: Lightweight on-line detector of anomalies. Mach. Learn. Tomás Pevný
2016	—	`conf`	Malicons: Detecting Payload in Favicons. Media Watermarking, Security, and Forensics Tomás Pevný, Martin Kopp, Jakub Kroustek, Andrew D. Ker
2016	—	`conf`	Passive NAT detection using HTTP access logs. WIFS Tomás Komárek, Martin Grill, Tomás Pevný
2016	C	`conf`	Rethinking Optimal Embedding. IH&MMSec Andrew D. Ker, Tomás Pevný, Patrick Bas
2016	J	`jnl`	Using Behavioral Similarity for Botnet Command-and-Control Discovery. IEEE Intell. Syst. Jan Jusko, Martin Rehák, Jan Stiborek, Jan Kohout, Tomás Pevný
2016	J	`jnl`	Using Neural Network Formalism to Solve Multiple-Instance Problems. CoRR Tomás Pevný, Petr Somol
2016	—	`conf`	k-NN Classification of Malware in HTTPS Traffic Using the Metric Space Approach. PAISI Jakub Lokoc, Jan Kohout, Premysl Cech, Tomás Skopal, Tomás Pevný
2015	B	`conf`	Automatic discovery of web servers hosting similar applications. IM Jan Kohout, Tomás Pevný
2015	—	`conf`	Is ensemble classifier needed for steganalysis in high-dimensional feature spaces? WIFS Rémi Cogranne, Vahid Sedighi, Jessica J. Fridrich, Tomás Pevný
2015	—	`conf`	Optimizing pooling function for pooled steganalysis. WIFS Tomás Pevný, Ivan Nikolaev
2015	—	`conf`	Towards dependable steganalysis. Media Watermarking, Security, and Forensics Tomás Pevný, Andrew D. Ker
2015	Misc	`conf`	Unsupervised detection of malware in persistent web traffic. ICASSP Jan Kohout, Tomás Pevný
2014	—	`conf`	A mishmash of methods for mitigating the model mismatch mess. Media Watermarking, Security, and Forensics Andrew D. Ker, Tomás Pevný
2014	—	`conf`	Randomized Operating Point Selection in Adversarial Classification. ECML/PKDD (2) Viliam Lisý, Robert Kessl, Tomás Pevný
2014	C	`conf`	Steganographic key leakage through payload metadata. IH&MMSec Tomás Pevný, Andrew D. Ker
2014	J	`jnl`	The Steganographer is the Outlier: Realistic Large-Scale Steganalysis. IEEE Trans. Inf. Forensics Secur. Andrew D. Ker, Tomás Pevný
2013	Misc	`conf`	Attacking the IDS learning processes. ICASSP Tomás Pevný, Martin Komon, Martin Rehák
2013	C	`conf`	Moving steganography and steganalysis from the laboratory into the real world. IH&MMSec Andrew D. Ker, Patrick Bas, Rainer Böhme, Rémi Cogranne, Scott Craver, Tomás Filler, Jessica J. Fridrich, Tomás Pevný
2013	—	`conf`	The challenges of rich features in universal steganalysis. Media Watermarking, Security, and Forensics Tomás Pevný, Andrew D. Ker
2012	—	`conf`	Batch steganography in the real world. MM&Sec Andrew David Ker, Tomás Pevný
2012	—	`conf`	Co-occurrence steganalysis in high dimensions. Media Watermarking, Security, and Forensics Tomás Pevný
2012	—	`conf`	Detecting anomalous network hosts by means of PCA. WIFS Tomás Pevný, Martin Rehák, Martin Grill
2012	J	`jnl`	From Blind to Quantitative Steganalysis. IEEE Trans. Inf. Forensics Secur. Tomás Pevný, Jessica J. Fridrich, Andrew D. Ker
2012	—	`conf`	Identifying a steganographer in realistic and heterogeneous data sets. Media Watermarking, Security, and Forensics Andrew D. Ker, Tomás Pevný
2011	—	`conf`	"Break Our Steganographic System": The Ins and Outs of Organizing BOSS. Information Hiding Patrick Bas, Tomás Filler, Tomás Pevný
2011	—	`conf`	A new paradigm for steganalysis via clustering. Media Forensics and Security Andrew D. Ker, Tomás Pevný
2011	—	`conf`	Detecting messages of unknown length. Media Forensics and Security Tomás Pevný
2011	—	`ed.`	Information Hiding - 13th International Conference, IH 2011, Prague, Czech Republic, May 18-20, 2011, Revised Selected Papers Information Hiding Tomás Filler, Tomás Pevný, Scott Craver, Andrew D. Ker
2010	—	`conf`	Modern steganalysis can detect YASS. Media Forensics and Security Jan Kodovský, Tomás Pevný, Jessica J. Fridrich
2010	J	`jnl`	Steganalysis by subtractive pixel adjacency matrix. IEEE Trans. Inf. Forensics Secur. Tomás Pevný, Patrick Bas, Jessica J. Fridrich
2010	—	`conf`	Using High-Dimensional Image Models to Perform Highly Undetectable Steganography. Information Hiding Tomás Pevný, Tomás Filler, Patrick Bas
2009	—	`conf`	From blind to quantitative steganalysis. Media Forensics and Security Tomás Pevný, Jessica J. Fridrich, Andrew D. Ker
2009	—	`conf`	Steganalysis by subtractive pixel adjacency matrix. MM&Sec Tomás Pevný, Patrick Bas, Jessica J. Fridrich
2008	—	`conf`	Benchmarking for Steganography. Information Hiding Tomás Pevný, Jessica J. Fridrich
2008	J	`jnl`	Detection of Double-Compression in JPEG Images for Applications in Steganography. IEEE Trans. Inf. Forensics Secur. Tomás Pevný, Jessica J. Fridrich
2008	—	`conf`	Estimation of primary quantization matrix for steganalysis of double-compressed JPEG images. Security, Forensics, Steganography, and Watermarking of Multimedia Contents Tomás Pevný, Jessica J. Fridrich
2008	J	`jnl`	Multiclass Detector of Current Steganographic Methods for JPEG Format. IEEE Trans. Inf. Forensics Secur. Tomás Pevný, Jessica J. Fridrich
2008	—	`conf`	Novelty detection in blind steganalysis. MM&Sec Tomás Pevný, Jessica J. Fridrich
2008	—	`conf`	The square root law of steganographic capacity. MM&Sec Andrew D. Ker, Tomás Pevný, Jan Kodovský, Jessica J. Fridrich
2007	—	`conf`	Merging Markov and DCT features for multi-class JPEG steganalysis. Security, Steganography, and Watermarking of Multimedia Contents Tomás Pevný, Jessica J. Fridrich
2007	—	`conf`	Statistically undetectable jpeg steganography: dead ends challenges, and opportunities. MM&Sec Jessica J. Fridrich, Tomás Pevný, Jan Kodovský
2006	—	`conf`	Multi-class blind steganalysis for JPEG images. Security, Steganography, and Watermarking of Multimedia Contents Tomás Pevný, Jessica J. Fridrich
2005	C	`conf`	Towards Multi-class Blind Steganalyzer for JPEG Images. IWDW Tomás Pevný, Jessica J. Fridrich