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08/04/2023
BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks
Federated learning enables collaborative training of machine learning mo...
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08/01/2023
FLAIRS: FPGA-Accelerated Inference-Resistant Secure Federated Learning
Federated Learning (FL) has become very popular since it enables clients...
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05/09/2023
Turning Privacy-preserving Mechanisms against Federated Learning
Recently, researchers have successfully employed Graph Neural Networks (...
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04/05/2023
Rethinking the Trigger-injecting Position in Graph Backdoor Attack
Backdoor attacks have been demonstrated as a security threat for machine...
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02/19/2023
On Feasibility of Server-side Backdoor Attacks on Split Learning
Split learning is a collaborative learning design that allows several pa...
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02/13/2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
Deep neural networks (DNNs) have achieved excellent results in various t...
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02/12/2023
Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions
Boolean functions are mathematical objects with numerous applications in...
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02/03/2023
A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Deep learning achieves outstanding results in many machine learning task...
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02/01/2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks
Deep learning models achieve excellent performance in numerous machine l...
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01/19/2023
A Survey of Metaheuristic Algorithms for the Design of Cryptographic Boolean Functions
Boolean functions are mathematical objects used in diverse domains and h...
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12/09/2022
On the Evolution of Boomerang Uniformity in Cryptographic S-boxes
S-boxes are an important primitive that help cryptographic algorithms to...
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11/21/2022
Evolutionary Strategies for the Design of Binary Linear Codes
The design of binary error-correcting codes is a challenging optimizatio...
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11/06/2022
Going In Style: Audio Backdoors Through Stylistic Transformations
A backdoor attack places triggers in victims' deep learning models to en...
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10/28/2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
Membership Inference Attacks (MIAs) infer whether a data point is in the...
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10/21/2022
DARWIN: Survival of the Fittest Fuzzing Mutators
Fuzzing is an automated software testing technique broadly adopted by th...
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07/27/2022
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
Graph Neural Networks (GNNs), inspired by Convolutional Neural Networks ...
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03/16/2022
Client-Wise Targeted Backdoor in Federated Learning
Federated Learning (FL) emerges from the privacy concerns traditional ma...
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03/04/2022
Dynamic Backdoors with Global Average Pooling
Outsourced training and machine learning as a service have resulted in n...
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02/17/2022
Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions
Finding balanced, highly nonlinear Boolean functions is a difficult prob...
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02/16/2022
Evolutionary Construction of Perfectly Balanced Boolean Functions
Finding Boolean functions suitable for cryptographic primitives is a com...
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02/16/2022
Modeling Strong Physically Unclonable Functions with Metaheuristics
Evolutionary algorithms have been successfully applied to attacking Phys...
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12/16/2021
Bent Functions in the Partial Spread Class Generated by Linear Recurring Sequences
We present a construction of partial spread bent functions using subspac...
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12/10/2021
SoK: On the Security Privacy in Federated Learning
Advances in Machine Learning (ML) and its wide range of applications boo...
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11/25/2021
On the Difficulty of Evolving Permutation Codes
Combinatorial designs provide an interesting source of optimization prob...
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10/21/2021
Watermarking Graph Neural Networks based on Backdoor Attacks
Graph Neural Networks (GNNs) have achieved promising performance in vari...
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10/15/2021
Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand
Automated Teller Machines (ATMs) represent the most used system for with...
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07/30/2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers
Deep neural networks represent a powerful option for many real-world app...
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05/25/2021
Evolutionary Algorithms for Designing Reversible Cellular Automata
Reversible Cellular Automata (RCA) are a particular kind of shift-invari...
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05/24/2021
On the Genotype Compression and Expansion for Evolutionary Algorithms in the Continuous Domain
This paper investigates the influence of genotype size on evolutionary a...
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04/08/2021
Explainability-based Backdoor Attacks Against Graph Neural Networks
Backdoor attacks represent a serious threat to neural network models. A ...
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04/27/2020
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations
Genetic programming is an often-used technique for symbolic regression: ...
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04/23/2020
Towards an evolutionary-based approach for natural language processing
Tasks related to Natural Language Processing (NLP) have recently been th...
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04/23/2020
CoInGP: Convolutional Inpainting with Genetic Programming
We investigate the use of Genetic Programming (GP) as a convolutional pr...
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06/11/2019
The Fifth International Students' Olympiad in Cryptography -- NSUCRYPTO: problems and their solutions
Problems and their solutions of the Fifth International Students' Olympi...
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02/13/2019
A characterisation of S-box fitness landscapes in cryptography
Substitution Boxes (S-boxes) are nonlinear objects often used in the des...
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10/22/2018
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information
Machine learning has become mainstream across industries. Numerous examp...
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06/06/2018