S. Picek

Stjepan Picek, Darko Hrestak, S. Picek, 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks

S. Picek, K. Liang, Jing Xu, 2022, ACSAC.

A survey of metaheuristic algorithms for the design of cryptographic Boolean functions

S. Picek, L. Mariot, Marko Djurasevic, 2023, Cryptography and Communications.

Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions

S. Picek, L. Mariot, Marko Djurasevic, 2023, ArXiv.

Evolving constructions for balanced, highly nonlinear boolean functions

C. Carlet, S. Picek, L. Mariot, 2022, GECCO.

On the Difficulty of Evolving Permutation Codes pdf

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2021, EvoApplications.

Evolutionary algorithms-assisted construction of cryptographic boolean functions

Claude Carlet, Domagoj Jakobovic, Stjepan Picek, 2021, GECCO.

Toward more efficient heuristic construction of Boolean functions

Markus Wagner, Domagoj Jakobovic, Stjepan Picek, 2021, Appl. Soft Comput..

Hyper-bent Boolean Functions and Evolutionary Algorithms

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2019, EuroGP.

The Design of (Almost) Disjunct Matrices by Evolutionary Algorithms

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2018, TPNC.

Evolutionary Search of Binary Orthogonal Arrays

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2018, PPSN.

Evolving Bent Quaternary Functions

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary algorithms for the design of orthogonal latin squares based on cellular automata

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2017, GECCO.

Immunological algorithms paradigm for construction of Boolean functions with good cryptographic properties

Domagoj Jakobovic, Stjepan Picek, Dominik Sisejkovic, 2017, Eng. Appl. Artif. Intell..

Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography

Claude Carlet, Sylvain Guilley, Julian Francis Miller, 2016, Evolutionary Computation.

Evolving Algebraic Constructions for Designing Bent Boolean Functions

Domagoj Jakobovic, Stjepan Picek, S. Picek, 2016, GECCO.

Cryptographic Boolean functions: One output, many design criteria

Julian Francis Miller, Lejla Batina, Domagoj Jakobovic, 2016, Appl. Soft Comput..

Maximal nonlinearity in balanced boolean functions with even number of inputs, revisited

Roberto Santana, Domagoj Jakobovic, Stjepan Picek, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary Approach for Finding Correlation Immune Boolean Functions of Order t with Minimal Hamming Weight

Claude Carlet, Sylvain Guilley, Julian Francis Miller, 2015, TPNC.

Fighting the Symmetries: The Structure of Cryptographic Boolean Function Spaces

Tamás D. Gedeon, Roberto Santana, Robert I. McKay, 2015, GECCO.

Correlation Immunity of Boolean Functions: An Evolutionary Algorithms Perspective

Claude Carlet, Julian Francis Miller, Lejla Batina, 2015, GECCO.

Evolutionary Methods for the Construction of Cryptographic Boolean Functions

Elena Marchiori, Julian Francis Miller, Lejla Batina, 2015, EuroGP.

Combining Evolutionary Computation and Algebraic Constructions to Find Cryptography-Relevant Boolean Functions

Elena Marchiori, Lejla Batina, Domagoj Jakobovic, 2014, PPSN.

Evolving DPA-Resistant Boolean Functions

Lejla Batina, Domagoj Jakobovic, Stjepan Picek, 2014, PPSN.

Evolving cryptographically sound boolean functions

Marin Golub, Domagoj Jakobovic, Stjepan Picek, 2013, GECCO.

S-box Pipelining Using Genetic Algorithms for High-Throughput AES Implementations: How Fast Can We Go?

Nele Mentens, Lejla Batina, Domagoj Jakobovic, 2014, INDOCRYPT.

Classification of Cancer Data: Analyzing Gene Expression Data Using a Fuzzy Decision Tree Algorithm

Simone A. Ludwig, Domagoj Jakobovic, Stjepan Picek, 2018 .

Analyzing gene expression data: Fuzzy decision tree algorithm applied to the classification of cancer data

Simone A. Ludwig, Domagoj Jakobovic, Stjepan Picek, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel Analysis

Shivam Bhasin, Stjepan Picek, Guilherme Perin, 2021, IACR Cryptol. ePrint Arch..

On the Influence of Optimizers in Deep Learning-based Side-channel Analysis

Stjepan Picek, Guilherme Perin, S. Picek, 2020, IACR Cryptol. ePrint Arch..

CSI NN: Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel

Lejla Batina, Stjepan Picek, Dirmanto Jap, 2019, USENIX Security Symposium.

Rethinking the Trigger-injecting Position in Graph Backdoor Attack

Gorka Abad, S. Picek, Jing Xu, 2023, ArXiv.

Explainability-based Backdoor Attacks Against Graph Neural Networks

S. Picek, Minhui Xue, Jing Xu, 2021, WiseML@WiSec.

Applications of evolutionary computation to cryptology

Stjepan Picek, S. Picek, 2015 .

Can You Hear It?: Backdoor Attacks via Ultrasonic Triggers

S. Picek, M. Conti, Jing Xu, 2021, WiseML@WiSec.

Evolutionary computation and machine learning in cryptology

Domagoj Jakobovic, Stjepan Picek, S. Picek, 2021, GECCO Companion.

One trace is all it takes: Machine Learning-based Side-channel Attack on EdDSA

Lejla Batina, Stjepan Picek, Leo Weissbart, 2019, IACR Cryptol. ePrint Arch..

Bias-variance Decomposition in Machine Learning-based Side-channel Analysis

Stjepan Picek, Daan van der Valk, S. Picek, 2019, IACR Cryptol. ePrint Arch..

Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis

Alan Hanjalic, Annelie Heuser, Shivam Bhasin, 2019, IACR Cryptol. ePrint Arch..

On the Performance of Convolutional Neural Networks for Side-Channel Analysis

Axel Legay, Annelie Heuser, Shivam Bhasin, 2018, SPACE.

Modeling Strong Physically Unclonable Functions with Metaheuristics

S. Picek, C. C. Coello, L. Mariot, 2022, ArXiv.

Influence of the crossover operator in the performance of the hybrid Taguchi GA

Marin Golub, Domagoj Jakobovic, Stjepan Picek, 2012, 2012 IEEE Congress on Evolutionary Computation.

Evaluation of Crossover Operator Performance in Genetic Algorithms with Binary Representation

Marin Golub, Domagoj Jakobovic, Stjepan Picek, 2011, ICIC.

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning

Gorka Abad, S. Picek, A. Urbieta, 2022, 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

Label-Only Membership Inference Attack against Node-Level Graph Neural Networks

S. Picek, M. Conti, Jing Xu, 2022, AISec@CCS.

A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification

Gorka Abad, S. Picek, Jing Xu, 2023, ArXiv.

A Multi-Sensor Information Fusion Method Based on Factor Graph for Integrated Navigation System

Stjepan Picek, Gongliu Yang, Yiding Sun, 2021, IEEE Access.

Fake it till you make it: Data Augmentation using Generative Adversarial Networks for all the crypto you need on small devices

Yinan Kong, Lejla Batina, Stjepan Picek, 2021, IACR Cryptol. ePrint Arch..

Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data

Gorka Abad, S. Picek, A. Urbieta, 2023, ArXiv.

Poster: Backdoor Attacks on Spiking NNs and Neuromorphic Datasets

Víctor Julio Ramírez-Durán, Gorka Abad, S. Picek, 2022, CCS.

Going in Style: Audio Backdoors Through Stylistic Transformations

S. Picek, M. Conti, Luca Pajola, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dynamic Backdoors with Global Average Pooling

S. Picek, M. Conti, Stefanos Koffas, 2022, 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Intelligent Security: Is "AI for Cybersecurity" a Blessing or a Curse (Dagstuhl Seminar 22412)

S. Picek, A. Sadeghi, N. Mentens, 2022, Dagstuhl Reports.

On evolutionary computation methods in cryptography

Marin Golub, Stjepan Picek, S. Picek, 2011, 2011 Proceedings of the 34th International Convention MIPRO.

On the Security&Privacy in Federated Learning

Gorka Abad, S. Picek, A. Urbieta, 2021, 2112.05423.

A New Cost Function for Evolution of S-Boxes

Stjepan Picek, Leon Rotim, Marko Cupic, 2016, Evolutionary Computation.

Cellular automata based S-boxes

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2018, Cryptography and Communications.

Design of S-boxes Defined with Cellular Automata Rules

Nele Mentens, Domagoj Jakobovic, Stjepan Picek, 2017, Conf. Computing Frontiers.

The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations

Annelie Heuser, Shivam Bhasin, Francesco Regazzoni, 2018, IACR Cryptol. ePrint Arch..

ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility pdf

Annibale Panichella, Mathijs de Weerdt, Przemyslaw Pawelczak, 2020, RRPR.

On (in)Security of Edge-based Machine Learning Against Electromagnetic Side-channels

S. Picek, S. Bhasin, Dirmanto Jap, 2022, 2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI).

Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders

Stjepan Picek, Lichao Wu, S. Picek, 2020, IACR Cryptol. ePrint Arch..

On McEliece-Type Cryptosystems Using Self-Dual Codes With Large Minimum Weight

Radinka Yorgova, Stjepan Picek, Luca Mariot, 2023, IEEE Access.

Optimizing Electromagnetic Fault Injection with Genetic Algorithms

Lejla Batina, Niels Samwel, Stjepan Picek, 2019, Automated Methods in Cryptographic Fault Analysis.

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations

S. Picek, Markus Wagner, D. Jakobovic, 2020, PPSN.

On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models

S. Picek, M. Conti, Jiaxin Li, 2022, ArXiv.

Automatic Feature Construction for Network Intrusion Detection

Stjepan Picek, Bing Xue, Binh Tran, 2017, SEAL.

Applications of Soft Computing in Cryptology

Stjepan Picek, S. Picek, 2016, WISA.

Confused by Confusion: Systematic Evaluation of DPA Resistance of Various S-boxes

Kostas Papagiannopoulos, Lejla Batina, Domagoj Jakobovic, 2014, INDOCRYPT.

S-box, SET, Match: A Toolbox for S-box Analysis

Lejla Batina, Marin Golub, Domagoj Jakobovic, 2014, WISTP.

On the recombination operator in the real-coded genetic algorithms

Marin Golub, Domagoj Jakobovic, Stjepan Picek, 2013, 2013 IEEE Congress on Evolutionary Computation.

Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks

S. Picek, Xiaoyun Xu, O. Ersoy, 2023, ArXiv.

Profiled SCA with a New Twist: Semi-supervised Learning

Axel Legay, Annelie Heuser, Stjepan Picek, 2017, IACR Cryptol. ePrint Arch..

Evolutionary Algorithms for the Design of Quantum Protocols

Domagoj Jakobovic, Stjepan Picek, Walter O. Krawec, 2019, EvoApplications.

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks

S. Picek, K. Liang, Jing Xu, 2022, ACSAC.

Backdoor Pony: Evaluating Backdoor Attacks and Defenses in Different Domains

Arthur G. Mercier, S. Picek, Stefanos Koffas, 2023, SSRN Electronic Journal.

A Systematic Evaluation of Profiling Through Focused Feature Selection

Lejla Batina, Annelie Heuser, Stjepan Picek, 2019, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

On the Relevance of Feature Selection for Profiled Side-channel Attacks

Axel Legay, Annelie Heuser, Stjepan Picek, 2017 .

The secrets of profiling for side-channel analysis: feature selection matters

Axel Legay, Lejla Batina, Annelie Heuser, 2017, IACR Cryptol. ePrint Arch..

Maximizing the Potential of Custom RISC-V Vector Extensions for Speeding up SHA-3 Hash Functions

S. Picek, N. Mentens, Huimin Li, 2023, 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Bent functions in the partial spread class generated by linear recurring sequences pdf

Maximilien Gadouleau, Stjepan Picek, Luca Mariot, 2021, Designs, Codes and Cryptography.

Lightweight and Side-channel Secure 4x4 S-Boxes from Cellular Automata Rules

Debdeep Mukhopadhyay, Sikhar Patranabis, Nilanjan Datta, 2018, IACR Cryptol. ePrint Arch..

Evolving S-boxes based on cellular automata with genetic programming

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2017, GECCO.

Bent Functions from Cellular Automata

Maximilien Gadouleau, Stjepan Picek, Luca Mariot, 2020, IACR Cryptol. ePrint Arch..

A scalable SIMD RISC-V based processor with customized vector extensions for CRYSTALS-kyber

Nele Mentens, Stjepan Picek, Huimin Li, 2022, IACR Cryptol. ePrint Arch..

SoK: Deep Learning-based Physical Side-channel Analysis

Lejla Batina, Stjepan Picek, Luca Mariot, 2022, IACR Cryptol. ePrint Arch..

Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis

S. Picek, Guilherme Perin, Lichao Wu, 2023, IACR Cryptol. ePrint Arch..

Hiding in Plain Sight: Non-profiling Deep Learning-based Side-channel Analysis with Plaintext/Ciphertext

S. Picek, Guilherme Perin, Lichao Wu, 2023, IACR Cryptol. ePrint Arch..

Not so Difficult in the End: Breaking the ASCADv2 Dataset

S. Picek, Guilherme Perin, Lichao Wu, 2023, IACR Cryptol. ePrint Arch..

An End-to-end Plaintext-based Side-channel Collision Attack without Trace Segmentation

S. Picek, Guilherme Perin, Lichao Wu, 2023, IACR Cryptol. ePrint Arch..

Exploring Feature Selection Scenarios for Deep Learning-based Side-Channel Analysis

Stjepan Picek, Guilherme Perin, Lichao Wu, 2022, IACR Cryptol. ePrint Arch..

Strength in Numbers: Improving Generalization with Ensembles in Machine Learning-based Profiled Side-channel Analysis

Stjepan Picek, Guilherme Perin, Lukasz Chmielewski, 2020, IACR Trans. Cryptogr. Hardw. Embed. Syst..

Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis

S. Picek, A. Hanjalic, S. Bhasin, 2018, IACR Cryptol. ePrint Arch..

The Best of Two Worlds: Deep Learning-assisted Template Attack

Stjepan Picek, Guilherme Perin, Lichao Wu, 2021, IACR Cryptol. ePrint Arch..

Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis

Stjepan Picek, Guilherme Perin, Lichao Wu, 2021, IACR Cryptol. ePrint Arch..

I Choose You: Automated Hyperparameter Tuning for Deep Learning-based Side-channel Analysis

Stjepan Picek, Guilherme Perin, Lichao Wu, 2020, IACR Cryptol. ePrint Arch..

Mind the Portability: A Warriors Guide through Realistic Profiled Side-channel Analysis

Annelie Heuser, Anupam Chattopadhyay, Shivam Bhasin, 2019, IACR Cryptol. ePrint Arch..

Side-channel analysis and machine learning: A practical perspective

Sylvain Guilley, Nele Mentens, Annelie Heuser, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

On the Evaluation of Deep Learning-based Side-channel Analysis

Stjepan Picek, Guilherme Perin, Lichao Wu, 2021, IACR Cryptol. ePrint Arch..

Focus is Key to Success: A Focal Loss Function for Deep Learning-based Side-channel Analysis

Stjepan Picek, Guilherme Perin, Lichao Wu, 2021, IACR Cryptol. ePrint Arch..

AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel Analysis

S. Picek, L. Batina, Guilherme Perin, 2022, IACR Cryptology ePrint Archive.

I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis

S. Picek, Guilherme Perin, Lichao Wu, 2022, IACR Cryptol. ePrint Arch..

No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis

Stjepan Picek, Guilherme Perin, Lichao Wu, 2023, Journal of Cryptographic Engineering.

The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-based SCA

Stjepan Picek, Guilherme Perin, Lichao Wu, 2023, IACR Cryptol. ePrint Arch..

Ablation Analysis for Multi-device Deep Learning-based Physical Side-channel Analysis

S. Picek, S. Bhasin, Guilherme Perin, 2023, IEEE Transactions on Dependable and Secure Computing.

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis

Juraj Fulir, Domagoj Jakobovic, Stjepan Picek, 2023, IEEE Access.

Label Correlation in Deep Learning-Based Side-Channel Analysis

S. Picek, L. Batina, Guilherme Perin, 2023, IEEE Transactions on Information Forensics and Security.

It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-channel Analysis

S. Picek, Guilherme Perin, Lichao Wu, 2023, IACR Cryptol. ePrint Arch..

Breaking Free: Leakage Model-free Deep Learning-based Side-channel Analysis

S. Picek, Azade Rezaeezade, Guilherme Perin, 2023, IACR Cryptol. ePrint Arch..

OccPoIs: Points of Interest based on Neural Network's Key Recovery in Side-Channel Analysis through Occlusion

S. Picek, S. Bhasin, Trevor Yap, 2023, IACR Cryptol. ePrint Arch..

AISY - Deep Learning-based Framework for Side-channel Analysis

Stjepan Picek, Guilherme Perin, Lichao Wu, 2021, IACR Cryptol. ePrint Arch..

Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-based SCA

Stjepan Picek, Guilherme Perin, Lichao Wu, 2021, IACR Cryptol. ePrint Arch..

Reinforcement Learning-based Design of Side-channel Countermeasures

Stjepan Picek, Guilherme Perin, Lichao Wu, 2021, IACR Cryptol. ePrint Arch..

On the Attack Evaluation and the Generalization Ability in Profiling Side-channel Analysis

Lejla Batina, Stjepan Picek, Guilherme Perin, 2020 .

Everything is Connected: From Model Learnability to Guessing Entropy

Lejla Batina, Stjepan Picek, Guilherme Perin, 2020, IACR Cryptol. ePrint Arch..

When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis

Cesare Alippi, Annelie Heuser, Francesco Regazzoni, 2018, IACR Cryptol. ePrint Arch..

On the Performance of Deep Learning for Side-channel Analysis

Axel Legay, Annelie Heuser, Shivam Bhasin, 2018, IACR Cryptol. ePrint Arch..

Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand pdf

Mauro Conti, Simone Milani, Stjepan Picek, 2021, USENIX Security Symposium.

Keep it Unsupervised: Horizontal Attacks Meet Deep Learning

Lejla Batina, Stjepan Picek, Guilherme Perin, 2020, IACR Cryptol. ePrint Arch..

Systematic Side-Channel Analysis of Curve25519 with Machine Learning

Lejla Batina, Stjepan Picek, Lukasz Chmielewski, 2020, Journal of Hardware and Systems Security.

Learning From A Big Brother - Mimicking Neural Networks in Profiled Side-channel Analysis

Stjepan Picek, Shivam Bhasin, Marina Krcek, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

A Fast Characterization Method for Semi-invasive Fault Injection Attacks

Stjepan Picek, Noemie Beringuier-Boher, Lichao Wu, 2020, CT-RSA.

Challenges in Deep Learning-Based Profiled Side-Channel Analysis

Stjepan Picek, S. Picek, 2019, SPACE.

Poster: When Adversary Becomes the Guardian -- Towards Side-channel Security With Adversarial Attacks

Stjepan Picek, Dirmanto Jap, Shivam Bhasin, 2019, CCS.

Towards Private Deep Learning-based Side-Channel Analysis using Homomorphic Encryption

S. Picek, Christian Rechberger, F. D. Santis, 2023, IACR Cryptol. ePrint Arch..

It Started with Templates: The Future of Profiling in Side-Channel Analysis

Lejla Batina, Annelie Heuser, Stjepan Picek, 2021, Security of Ubiquitous Computing Systems.

Deep Learning-based Side-channel Analysis against AES Inner Rounds

Stjepan Picek, Guilherme Perin, Lukasz Chmielewski, 2021, IACR Cryptol. ePrint Arch..

Learning when to stop: a mutual information approach to fight overfitting in profiled side-channel analysis

Stjepan Picek, Guilherme Perin, Ileana Buhan, 2020, IACR Cryptol. ePrint Arch..

Strength in Numbers: Improving Generalization with Ensembles in Profiled Side-channel Analysis

Stjepan Picek, Guilherme Perin, Lukasz Chmielewski, 2020 .

Improving Generalization with Ensembles in Machine Learning-based Profiled Side-channel Analysis

S. Picek, Guilherme Perin, Łukasz Chmielewski, 2020 .

On the Performance of Multilayer Perceptron in Profiling Side-channel Analysis

Lejla Batina, Stjepan Picek, Léo Weissbart, 2019, IACR Cryptol. ePrint Arch..

Kilroy was here: The First Step Towards Explainability of Neural Networks in Profiled Side-channel Analysis

Stjepan Picek, Shivam Bhasin, Daan van der Valk, 2019, IACR Cryptol. ePrint Arch..

Lightweight Ciphers and Their Side-Channel Resilience

Sylvain Guilley, Nele Mentens, Annelie Heuser, 2020, IEEE Transactions on Computers.

Template attack versus Bayes classifier

S. Picek, S. Guilley, Annelie Heuser, 2017, Journal of Cryptographic Engineering.

Climbing Down the Hierarchy: Hierarchical Classification for Machine Learning Side-Channel Attacks

Axel Legay, Annelie Heuser, Stjepan Picek, 2017, AFRICACRYPT.

Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis

S. Picek, A. Hanjalic, S. Bhasin, 2019, IACR Transactions on Cryptographic Hardware and Embedded Systems.

Improving Side-Channel Analysis Through Semi-supervised Learning

Annelie Heuser, Stjepan Picek, Alan Jovic, 2018, CARDIS.

Side-Channel Analysis of Lightweight Ciphers: Does Lightweight Equal Easy?

Sylvain Guilley, Nele Mentens, Annelie Heuser, 2016, RFIDSec.

CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information

Lejla Batina, Shivam Bhasin, Stjepan Picek, 2018, IACR Cryptol. ePrint Arch..

If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics

Una-May O'Reilly, Erik Hemberg, Stjepan Picek, 2017, MTD@CCS.

Extreme Pipelining Towards the Best Area-Performance Trade-Off in Hardware

Nele Mentens, Lejla Batina, Domagoj Jakobovic, 2016, AFRICACRYPT.

From fitness landscape to crossover operator choice

Domagoj Jakobovic, Stjepan Picek, S. Picek, 2014, GECCO.

Security, Privacy, and Applied Cryptography Engineering: 10th International Conference, SPACE 2020, Kolkata, India, December 17–21, 2020, Proceedings

Lejla Batina, Stjepan Picek, Mainack Mondal, 2020, SPACE.

The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption

S. Picek, W. Susilo, K. Liang, 2024, NDSS.

Side-channel Analysis of Lightweight Ciphers: Current Status and Future Directions

Sylvain Guilley, Nele Mentens, Annelie Heuser, 2016 .

Turning Privacy-preserving Mechanisms against Federated Learning

S. Picek, M. Conti, Antonino Nocera, 2023, ArXiv.

On the genotype compression and expansion for evolutionary algorithms in the continuous domain

Domagoj Jakobovic, Stjepan Picek, Luca Mariot, 2021, GECCO Companion.

Towards an evolutionary-based approach for natural language processing

Domagoj Jakobovic, Stjepan Picek, Luca Manzoni, 2020, GECCO.

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data

Gorka Abad, S. Picek, Jing Xu, 2023, ArXiv.

Applications of Evolutionary Computation to Cryptology ; Primjene evolucijskog računarstva u kriptologiji

S. Picek, 2015 .

CryptoBench: benchmarking evolutionary algorithms with cryptographic problems

Una-May O'Reilly, Domagoj Jakobovic, Stjepan Picek, 2017, GECCO.

Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different Sizes

Julian Francis Miller, Lejla Batina, Domagoj Jakobovic, 2015, GECCO.

Improving DPA resistance of S-boxes: How far can we go?

Kostas Papagiannopoulos, Lejla Batina, Stjepan Picek, 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

Evolving genetic algorithms for fault injection attacks

Lejla Batina, Domagoj Jakobovic, Rafael Boix Carpi, 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Optimality and beyond: The case of 4×4 S-boxes

Kostas Papagiannopoulos, Lejla Batina, Domagoj Jakobovic, 2014, 2014 IEEE International Symposium on Hardware-Oriented Security and Trust (HOST).

Glitch It If You Can: Parameter Search Strategies for Successful Fault Injection

Lejla Batina, Marin Golub, Domagoj Jakobovic, 2013, CARDIS.

On the analysis of experimental results in evolutionary computation

Marin Golub, Domagoj Jakobovic, Stjepan Picek, 2012, 2012 Proceedings of the 35th International Convention MIPRO.

CoInGP: convolutional inpainting with genetic programming pdf

Domagoj Jakobovic, Stjepan Picek, Luca Manzoni, 2020, GECCO.

A Search for Differentially-6 Uniform (n, n-2) Functions

Claude Carlet, Domagoj Jakobovic, Stjepan Picek, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary computation and cryptology

Stjepan Picek, S. Picek, 2017, GECCO.

PRNGs for Masking Applications and Their Mapping to Evolvable Hardware

Nele Mentens, Stjepan Picek, Jo Vliegen, 2016, CARDIS.

Evolutionary Computation and Cryptology

Stjepan Picek, S. Picek, 2016, GECCO.

Order vs. Chaos: A Language Model Approach for Side-channel Attacks

S. Picek, L. Batina, Praveen Kulkarni, 2023, IACR Cryptol. ePrint Arch..

FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning

S. Picek, A. Sadeghi, Shaza Zeitouni, 2023, 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL).

MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering

Z. Liu, S. Picek, K. Liang, 2022, 2208.10161.

MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness

S. Picek, Xiaoyun Xu, Shujian Yu, 2023, ArXiv.

Invisible Threats: Backdoor Attack in OCR Systems

S. Picek, Luca Pajola, Stefanos Koffas, 2023, 2310.08259.

BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks

S. Picek, M. Conti, Antonino Nocera, 2023, 2308.02465.

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs

S. Picek, Stefanos Koffas, Mauro Conti, 2023, ArXiv.

IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness

S. Picek, Xiaoyun Xu, Guilherme Perin, 2023, 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W).

Label Inference Attacks against Node-level Vertical Federated GNNs

S. Picek, M. Conti, Antonino Nocera, 2023, 2308.02465.

Applied Cryptography and Network Security Workshops: ACNS 2020 Satellite Workshops, AIBlock, AIHWS, AIoTS, Cloud S&P, SCI, SecMT, and SiMLA, Rome, Italy, October 19–22, 2020, Proceedings

J Zhou, M. Conti, G. Mujeeb Ahmed, 2020, ACNS Workshops.

Weakly Profiling Side-channel Analysis

S. Picek, Guilherme Perin, Lichao Wu, 2022 .

Assessing the Ability of Genetic Programming for Feature Selection in Constructing Dispatching Rules for Unrelated Machine Environments

S. Picek, L. Mariot, D. Jakobović, 2024, Algorithms.

Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks

S. Picek, Zhonglin Ye, Zhaoyang Wang, 2023, 2310.15656.

Unveiling the Threat: Investigating Distributed and Centralized Backdoor Attacks in Federated Graph Neural Networks

S. Picek, Jing Xu, Stefanos Koffas, 2023, Digital Threats: Research and Practice.