Exploitation, detection and prevention of Adversarial Attacks on Deep Neural Networks

Bibliographic Details
Main Author:	Kontár Soma Gábor
Other Authors:	Horváth András
Format:	Manuscript essay
Published:	2019-12-16
Online Access:	https://diplomamunka.ppke.hu/8099

Similar Items

Increasing the robustness of deep neural networks against adversarial attacks and solving other prominent problems in the application of machine learning
by: Jalal Alafandi
Published: (2023)

Preventing Overconfident Responses in Neural Networks
by: Bódis Viktor
Published: (2020)

Classification performance improvements for deep neural networks
by: Halász András Pál
Published: (2019)

Fast banknote recognition on image flows with deep neural networks
by: Anley Zelalem Birhan
Published: (2018)

Cooperative control of two robotic arms with separate deep neural networks
by: Tihanyi Kinga
Published: (2018)

Trichinella spiralis parasite detection in microfluidic systems using neural networks
by: Kufcsák Péter
Published: (2021)

Computer Vision Based Methods of Adversarial Algorithms in Deep Learning
by: Farkas Bence Balázs
Published: (2018)

Preventing blindness by analysing fundus images using deep learning
by: Sheer Nawar Faris Bayya
Published: (2020)

Processing echocardiogram images with neural network
by: Soós András László
Published: (2021)

Object detection with deep learning on medical images
by: Szabó Dániel Attila
Published: (2020)

Study of artificial neural network pruning strategies
by: Belánszki Tibor
Published: (2022)

Evaluation of pruning methods for artificial neural networks
by: Borcsiczky Judit
Published: (2022)

Development of neural networks for heart slice segmentation
by: Rácz Adrienn
Published: (2025)

Oscillatory Neural Networks for time-dependent signals
by: Ajlik Zóra
Published: (2025)

Applications of Cellular Neural/Nonlinear Networks in Physics
by: Ercsey-Ravasz Mária-Magdolna
Published: (2008)

Analysing hippocampal neural representation with probabilistic deep learning
by: Kis Márton
Published: (2020)

Waste Detection Using Deep Learning and Integration of Detection to iOS and Android Platforms
by: Sagynova Ainura
Published: (2022)

Link prediction in protein-protein interaction networks using graph embedding-based topological information and a generative adversarial network machine learning model
by: Balogh Olivér Márton
Published: (2021)

Applying neural network based algorithms in communication technology
by: Tisza Dávid
Published: (2019)

Comparison of bio-inspired neural networks for continual learning
by: Joós András György
Published: (2022)

EEG Signal Classification with neural networks for BMI Applications
by: Kutasi Balázs
Published: (2022)

Studying the dynamics of a neural network model of the hippocampus
by: Steinbach-Németh Orsolya
Published: (2020)

Application of Transformer-based Neural Networks in Multiomics Studies
by: Szepesi Nagy István
Published: (2024)

Object detection and association in Multiview scenarios based on deep learning
by: Moral de Eusebio Paula
Published: (2019)

Study of pruning strategies and its effectiveness in artificial neural networks
by: Dulovits Árpád
Published: (2022)

Artificial bone scintigraphy image generation using neural networks
by: Prajczer Péter
Published: (2021)

Trained neural network on electromyographic data for the control of cranking movements
by: Radeleczki Balázs
Published: (2021)

Classification of motor imagery EEG signals using neural networks
by: Nagy Nikoletta
Published: (2024)

Visualization and Interpretation of Artificial Neural Networks for the Analysis of Cardiac Ultrasound Recordings
by: Szigeti Mark Bence
Published: (2021)

Deep Learning based methods fo data classification in sensor networks
by: Bagdi Richárd Mózes
Published: (2020)

Driver profile clustering on handcrafted feature set using artificial neural networks
by: Bogdány Péter
Published: (2019)

Detection of Asian hornet’s nest on drone acquisition images using deep learning methods
by: Shams Tooba
Published: (2020)

How the United States of America deals with terrorist attacks
by: Kalotai Zorka
Published: (2024)

Brain age prediction based on convolutional neural networks trained on T1 weighted MRI volumes
by: Kemenczky Péter
Published: (2019)

Optimizing Transformer-based Neural Networks for Enhanced Ab Initio Gene Prediction in ESKAPE Pathogens
by: Ortiz Nicole
Published: (2024)

Preventive measures to fight corruption
by: Le Tien Sinh
Published: (2021)

Psychiatric disorder recognition and quantifying stages of progression through movement analysis, with the help of artificial neural networks
by: Fráter Csenge
Published: (2019)

Local and International Regulations and Laws Governing Fraud and Corruption Prevention. Existing Company Best Practices in Fraud and Corruption Prevention
by: Fonyódi Krisztián
Published: (2022)

Preventive measures to fight corruption A balanced approach between legal and ethical solutions
by: Lai Quang Hop
Published: (2025)

Types of discrimination at a workplace and possibilities of prevention
by: Antal András
Published: (2023)